FanqingM
/
MMIU-Benchmark
task
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visual_input_component
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source
stringclasses
64 values
options
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4.46k
question
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stringclasses
10 values
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.927869, -0.125596, 0.351119], [-0.372891, -0.32108, 0.870551], [0.003399, -0.938687, -0.344754]] and translation vector: [5.442723, 4.031985, 1.348893], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.928984, -0.124208, 0.348657], [-0.370086, -0.32475, 0.870387], [0.005117, -0.937609, -0.347654]] and translation vector: [5.438782, 4.038163, 1.363364], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.930142, -0.10574, 0.351647], [-0.366759, -0.314483, 0.87555], [0.018006, -0.943355, -0.331295]] and translation vector: [5.443505, 4.02862, 1.369591]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_102_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.32152, -0.4706, 0.821681], [-0.946681, 0.178549, -0.268172], [-0.020508, -0.864092, -0.502915]] and translation vector: [2.120097, 2.367636, 1.494245], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.324752, -0.471365, 0.819971], [-0.945715, 0.173395, -0.274877], [-0.012612, -0.864725, -0.502087]] and translation vector: [2.101204, 2.346659, 1.492081], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.35351, -0.420371, 0.835655], [-0.935423, 0.155099, -0.317693], [0.00394, -0.893998, -0.448054]] and translation vector: [2.068189, 2.338444, 1.524964]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_103_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.504428, 0.479717, -0.717931], [0.860003, -0.204862, 0.467362], [0.077124, -0.853173, -0.515896]] and translation vector: [4.973708, 0.412451, 1.573636], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.50991, 0.478461, -0.714889], [0.856537, -0.205494, 0.47341], [0.079603, -0.853725, -0.514603]] and translation vector: [4.974949, 0.42052, 1.588198], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.529349, 0.450337, -0.719018], [0.846093, -0.217693, 0.486556], [0.062589, -0.865914, -0.496262]] and translation vector: [4.987175, 0.423323, 1.59454]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_104_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.070416, -0.411804, 0.908548], [-0.99671, 0.065705, -0.047468], [-0.040148, -0.908901, -0.415075]] and translation vector: [2.214543, 1.806687, 1.391502], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.072195, -0.409813, 0.909308], [-0.996578, 0.066438, -0.049181], [-0.040258, -0.909747, -0.413207]] and translation vector: [2.216063, 1.808517, 1.395188], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.080916, -0.398975, 0.913384], [-0.996223, 0.061337, -0.061462], [-0.031503, -0.914908, -0.402432]] and translation vector: [2.214478, 1.812354, 1.396036]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_105_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.349467, 0.022881, -0.936669], [0.936944, -0.011774, 0.349282], [-0.003037, -0.999669, -0.025553]] and translation vector: [3.08553, 2.787215, 1.609269], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.348555, 0.021762, -0.937036], [0.937279, -0.012701, 0.34835], [-0.00432, -0.999682, -0.024824]] and translation vector: [3.086167, 2.787834, 1.610474], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.369988, 0.031522, -0.928502], [0.929035, -0.010749, 0.369835], [0.001677, -0.999445, -0.033262]] and translation vector: [3.084904, 2.78765, 1.611416]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_106_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.986418, -0.051155, 0.156087], [-0.152905, 0.633099, -0.758819], [-0.060001, -0.772379, -0.632322]] and translation vector: [2.055195, 1.600374, 1.268236], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.986809, -0.050817, 0.15371], [-0.151071, 0.630346, -0.761474], [-0.058194, -0.77465, -0.629707]] and translation vector: [2.054364, 1.600927, 1.26836], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.986971, -0.056701, 0.150577], [-0.152339, 0.630474, -0.761115], [-0.051779, -0.774137, -0.630897]] and translation vector: [2.055561, 1.60142, 1.26922]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_107_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.987126, 0.106622, -0.119219], [0.159938, -0.652529, 0.740693], [0.00118, -0.750225, -0.661181]] and translation vector: [4.64166, 4.052867, 1.404314], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.987387, 0.107853, -0.115912], [0.158278, -0.654013, 0.73974], [0.003975, -0.748756, -0.662834]] and translation vector: [4.649776, 4.051806, 1.400746], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.98973, 0.078153, -0.119695], [0.141622, -0.649931, 0.746681], [-0.019438, -0.755964, -0.654324]] and translation vector: [4.654046, 4.058671, 1.412681]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_108_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.994446, -0.078697, 0.06988], [-0.104992, -0.787844, 0.606859], [0.007297, -0.610826, -0.791731]] and translation vector: [1.305105, 0.510448, 1.183315], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.994112, -0.083607, 0.068931], [-0.10831, -0.785774, 0.608956], [0.003251, -0.612836, -0.790203]] and translation vector: [1.308194, 0.508844, 1.184721], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.994174, -0.088174, 0.061991], [-0.107635, -0.781912, 0.614026], [-0.00567, -0.617121, -0.786848]] and translation vector: [1.316761, 0.496028, 1.1951]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_109_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.481759, -0.460793, 0.745371], [-0.875469, 0.290199, -0.386444], [-0.038235, -0.838722, -0.543216]] and translation vector: [3.08436, 2.075189, 1.468295], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.482142, -0.463533, 0.743422], [-0.87538, 0.289132, -0.387445], [-0.035354, -0.83758, -0.54517]] and translation vector: [3.085865, 2.079347, 1.468915], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.466183, -0.466331, 0.751804], [-0.884097, 0.276631, -0.376626], [-0.03234, -0.840244, -0.541243]] and translation vector: [3.069418, 2.081707, 1.467716]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_110_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.975982, 0.033782, -0.215214], [0.215389, -0.297687, 0.930048], [-0.032648, -0.954066, -0.297814]] and translation vector: [2.838751, 1.414222, 1.664536], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.976127, 0.034525, -0.21444], [0.21483, -0.298963, 0.929769], [-0.03201, -0.95364, -0.299243]] and translation vector: [2.83798, 1.414721, 1.663024], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.977071, 0.035817, -0.209879], [0.210869, -0.299025, 0.930655], [-0.029426, -0.953573, -0.299721]] and translation vector: [2.830656, 1.415531, 1.663803]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_111_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.054781, -0.427281, 0.902458], [-0.998013, -0.051617, 0.036143], [0.031139, -0.902644, -0.429259]] and translation vector: [1.328526, 0.849821, 1.501181], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.086578, -0.407933, 0.908898], [-0.995883, -0.060028, 0.067922], [0.026852, -0.911036, -0.41145]] and translation vector: [1.314662, 0.836147, 1.492068], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.123316, -0.40327, 0.906734], [-0.991749, -0.082348, 0.098253], [0.035045, -0.911368, -0.410097]] and translation vector: [1.307532, 0.816785, 1.49678]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_112_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.140295, 0.625342, -0.767636], [0.990108, -0.090149, 0.107516], [-0.001967, -0.775126, -0.631804]] and translation vector: [3.410891, 3.073526, 1.198756], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.148525, 0.612201, -0.776627], [0.988818, -0.102561, 0.108258], [-0.013376, -0.784022, -0.620589]] and translation vector: [3.421496, 3.097678, 1.206193], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.180299, 0.582031, -0.792926], [0.982291, -0.148308, 0.114495], [-0.050958, -0.799528, -0.598463]] and translation vector: [3.423417, 3.182928, 1.218892]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_113_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.408988, -0.323891, 0.853126], [-0.912443, -0.158736, 0.37716], [0.013263, -0.932683, -0.360453]] and translation vector: [3.672612, 2.990265, 1.494339], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.403714, -0.307769, 0.861564], [-0.914697, -0.154884, 0.373283], [0.018558, -0.93877, -0.344045]] and translation vector: [3.67724, 2.998002, 1.501107], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.418114, -0.223767, 0.880403], [-0.907864, -0.136047, 0.396578], [0.031035, -0.965101, -0.260033]] and translation vector: [3.686426, 2.992862, 1.516855]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_114_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.804414, -0.195207, 0.561082], [-0.593456, -0.306943, 0.74404], [0.026978, -0.931494, -0.362756]] and translation vector: [4.397897, 1.805397, 1.263968], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.81043, -0.19082, 0.553888], [-0.585149, -0.309439, 0.749566], [0.028363, -0.931577, -0.362436]] and translation vector: [4.406421, 1.797547, 1.276681], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.835561, -0.15907, 0.525866], [-0.54802, -0.309079, 0.777267], [0.038894, -0.937639, -0.345428]] and translation vector: [4.454782, 1.746297, 1.281162]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_115_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.454685, 0.144673, -0.878824], [0.890085, 0.109034, -0.442562], [0.031795, -0.983454, -0.178347]] and translation vector: [3.311996, 2.119304, 1.59409], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.453171, 0.138778, -0.880555], [0.890847, 0.10604, -0.441756], [0.032068, -0.98463, -0.171684]] and translation vector: [3.314367, 2.120091, 1.591769], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.43605, 0.134523, -0.889811], [0.898328, 0.123911, -0.42149], [0.053558, -0.983133, -0.174877]] and translation vector: [3.332471, 2.052713, 1.580764]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_116_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.51864, -0.44867, 0.727811], [-0.853934, -0.229463, 0.467059], [-0.04255, -0.863738, -0.502143]] and translation vector: [1.002297, 1.98866, 1.344191], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.519607, -0.444592, 0.729621], [-0.853432, -0.229314, 0.468049], [-0.040778, -0.865883, -0.498582]] and translation vector: [1.000441, 1.985865, 1.344846], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.525099, -0.430062, 0.734383], [-0.8496, -0.214703, 0.48175], [-0.049508, -0.876898, -0.478121]] and translation vector: [0.994465, 1.977308, 1.35476]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_117_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.68967, 0.288211, -0.664297], [0.724122, -0.27239, 0.633602], [0.001663, -0.918008, -0.396559]] and translation vector: [2.530043, 2.005069, 1.437417], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.68921, 0.288518, -0.66464], [0.724561, -0.273014, 0.632831], [0.001127, -0.917726, -0.397212]] and translation vector: [2.5334, 2.008455, 1.44069], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.695343, 0.287777, -0.658546], [0.718659, -0.271639, 0.640111], [0.005323, -0.918366, -0.395696]] and translation vector: [2.535345, 2.010031, 1.440264]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_118_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.24604, -0.551346, 0.797171], [-0.968826, -0.115295, 0.219278], [-0.028988, -0.826271, -0.562526]] and translation vector: [1.704247, 2.057158, 1.361636], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.236706, -0.55071, 0.800431], [-0.971342, -0.115817, 0.207564], [-0.021604, -0.826623, -0.562342]] and translation vector: [1.70792, 2.062619, 1.364929], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.170375, -0.545117, 0.820866], [-0.98536, -0.099505, 0.138438], [0.006215, -0.832434, -0.554089]] and translation vector: [1.68849, 2.12587, 1.375528]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_119_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.711391, -0.463973, 0.527875], [-0.700286, 0.531398, -0.476672], [-0.059349, -0.708763, -0.702945]] and translation vector: [2.53321, 4.394931, 1.530427], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.710702, -0.465347, 0.527594], [-0.701175, 0.5294, -0.477586], [-0.057065, -0.709357, -0.702536]] and translation vector: [2.526067, 4.393322, 1.526345], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.710832, -0.469663, 0.523579], [-0.701381, 0.52914, -0.477573], [-0.052748, -0.706702, -0.705542]] and translation vector: [2.532494, 4.391185, 1.524071]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_120_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.506976, -0.449046, 0.735753], [-0.861802, 0.247713, -0.442646], [0.016513, -0.858485, -0.512574]] and translation vector: [1.568574, 4.423309, 1.333385], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.503836, -0.444181, 0.740846], [-0.863753, 0.25025, -0.437385], [0.008882, -0.860278, -0.509748]] and translation vector: [1.576928, 4.418399, 1.331934], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.476896, -0.475938, 0.738954], [-0.878865, 0.245876, -0.408828], [0.012886, -0.84441, -0.535543]] and translation vector: [1.618973, 4.377153, 1.328238]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_121_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.857694, 0.203115, -0.472341], [0.513544, 0.293426, -0.806333], [-0.025181, -0.934155, -0.355978]] and translation vector: [3.161674, 3.662206, 1.335287], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.856666, 0.203827, -0.473897], [0.515344, 0.296604, -0.804019], [-0.023321, -0.932995, -0.359132]] and translation vector: [3.164327, 3.659025, 1.330704], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.851543, 0.201203, -0.48414], [0.523447, 0.274112, -0.806762], [-0.029614, -0.940415, -0.338738]] and translation vector: [3.169208, 3.645592, 1.345035]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_122_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.861262, 0.35211, -0.366398], [0.508128, 0.60504, -0.61297], [0.005853, -0.714105, -0.700014]] and translation vector: [3.145762, 3.637784, 1.437024], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.859655, 0.347273, -0.374693], [0.510745, 0.600786, -0.614977], [0.011546, -0.720041, -0.693836]] and translation vector: [3.145171, 3.63531, 1.440385], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.904923, 0.242096, -0.350005], [0.423906, 0.585528, -0.690985], [0.037653, -0.773658, -0.632485]] and translation vector: [3.179198, 3.619442, 1.477378]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_123_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.624751, -0.31057, 0.716403], [-0.780527, -0.273701, 0.562018], [0.021534, -0.910293, -0.413403]] and translation vector: [-0.212106, 0.775797, 1.619325], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.624146, -0.312612, 0.716042], [-0.781019, -0.274551, 0.56092], [0.02124, -0.909338, -0.415515]] and translation vector: [-0.212874, 0.777223, 1.616059], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.642142, -0.354499, 0.679694], [-0.766394, -0.316707, 0.558871], [0.017145, -0.879788, -0.475057]] and translation vector: [-0.180935, 0.825968, 1.590205]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_124_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.984594, -0.069457, 0.160469], [-0.174127, -0.305795, 0.936039], [-0.015944, -0.949561, -0.313178]] and translation vector: [3.941113, 2.817773, 1.559826], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.984592, -0.069572, 0.160429], [-0.174152, -0.307406, 0.935507], [-0.015768, -0.949032, -0.314785]] and translation vector: [3.94407, 2.817183, 1.553188], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.986412, -0.069361, 0.14893], [-0.163547, -0.328462, 0.93025], [-0.015605, -0.941967, -0.335343]] and translation vector: [3.970874, 2.81883, 1.551708]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_125_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.565317, -0.50256, 0.654103], [-0.824719, 0.328974, -0.460017], [0.016003, -0.799506, -0.600445]] and translation vector: [4.07549, 5.065369, 1.281872], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.538132, -0.502349, 0.676801], [-0.842747, 0.30749, -0.441846], [0.013851, -0.808143, -0.588824]] and translation vector: [4.054681, 5.042427, 1.283033], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.45677, -0.532015, 0.712967], [-0.889546, 0.265624, -0.371689], [0.008363, -0.803993, -0.594581]] and translation vector: [3.985017, 4.950093, 1.286783]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_126_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.971613, -0.06682, 0.226943], [-0.235147, 0.378036, -0.89543], [-0.02596, -0.923376, -0.383017]] and translation vector: [2.775299, 4.618156, 1.427592], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.969099, -0.066923, 0.237421], [-0.244849, 0.377786, -0.892932], [-0.029937, -0.923471, -0.382498]] and translation vector: [2.770648, 4.620754, 1.418404], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.959375, -0.08118, 0.270203], [-0.280099, 0.388898, -0.877669], [-0.033832, -0.917697, -0.395838]] and translation vector: [2.756619, 4.594989, 1.414391]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_127_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.218501, -0.721835, 0.656667], [-0.97193, -0.10083, 0.212566], [-0.087226, -0.684681, -0.723605]] and translation vector: [2.10902, 2.428258, 1.386435], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.218569, -0.722397, 0.656026], [-0.971546, -0.098231, 0.215522], [-0.091251, -0.684466, -0.723312]] and translation vector: [2.107975, 2.430531, 1.385643], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.234983, -0.674252, 0.70012], [-0.966581, -0.086145, 0.241454], [-0.102489, -0.73346, -0.671961]] and translation vector: [2.089091, 2.418566, 1.400829]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_128_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.863619, -0.252896, 0.436126], [-0.502889, 0.371124, -0.780621], [0.03556, -0.893482, -0.447688]] and translation vector: [2.007098, 3.82416, 1.536992], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.862677, -0.255046, 0.436739], [-0.504412, 0.370978, -0.779707], [0.036841, -0.892932, -0.448682]] and translation vector: [2.007321, 3.81907, 1.542811], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.863059, -0.255804, 0.435538], [-0.503401, 0.36489, -0.783226], [0.041429, -0.89522, -0.443694]] and translation vector: [2.011345, 3.815826, 1.540639]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_129_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.311411, -0.45253, 0.835607], [-0.948656, 0.199362, -0.245576], [-0.055457, -0.869179, -0.491379]] and translation vector: [2.299133, 2.388773, 1.459468], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.314195, -0.454542, 0.833471], [-0.947818, 0.20019, -0.248124], [-0.05407, -0.867937, -0.493722]] and translation vector: [2.299448, 2.389842, 1.45904], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.319309, -0.479365, 0.817466], [-0.946515, 0.203543, -0.250358], [-0.046377, -0.853686, -0.518719]] and translation vector: [2.297309, 2.382683, 1.450072]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_130_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.922168, 0.178823, -0.342969], [0.38661, 0.453076, -0.803278], [0.011746, -0.873352, -0.486947]] and translation vector: [3.207336, 1.959871, 1.267555], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.914921, 0.180426, -0.361063], [0.403188, 0.450583, -0.796502], [0.018979, -0.874312, -0.484993]] and translation vector: [3.204391, 1.957541, 1.273759], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.899907, 0.183343, -0.395667], [0.435126, 0.437531, -0.786913], [0.028842, -0.880314, -0.473515]] and translation vector: [3.195998, 1.957617, 1.285169]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_131_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.037281, 0.595041, -0.80283], [0.998378, -0.012419, -0.055566], [-0.043034, -0.803599, -0.593613]] and translation vector: [3.95675, 2.244474, 1.442954], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.038109, 0.594465, -0.803218], [0.998341, -0.012073, -0.056302], [-0.043167, -0.80403, -0.593019]] and translation vector: [3.957906, 2.244142, 1.441716], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.035792, 0.584102, -0.810891], [0.99863, -0.010099, -0.051354], [-0.038185, -0.811617, -0.58294]] and translation vector: [3.956708, 2.24149, 1.443636]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_132_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.941243, -0.209403, 0.264975], [-0.336113, 0.504116, -0.795548], [0.033012, -0.837865, -0.544878]] and translation vector: [4.828751, 9.008894, 1.463441], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.939528, -0.206646, 0.273103], [-0.341818, 0.516505, -0.785101], [0.021179, -0.830976, -0.555906]] and translation vector: [4.819307, 9.009376, 1.463735], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.929333, -0.218512, 0.297646], [-0.368979, 0.519063, -0.770992], [0.013974, -0.826333, -0.563008]] and translation vector: [4.802584, 9.04943, 1.458571]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_133_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.341382, 0.594812, -0.727775], [0.932196, 0.11517, -0.343142], [-0.120287, -0.795572, -0.593798]] and translation vector: [7.151203, 3.587152, 1.581923], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.344041, 0.585523, -0.734029], [0.930897, 0.110501, -0.348168], [-0.122749, -0.803089, -0.583079]] and translation vector: [7.150104, 3.60012, 1.584136], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.381268, 0.567894, -0.729473], [0.913798, 0.111991, -0.390424], [-0.140025, -0.815448, -0.561639]] and translation vector: [7.153435, 3.678253, 1.582921]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_134_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.631332, 0.312126, -0.709927], [0.775472, -0.26347, 0.573784], [-0.007951, -0.912776, -0.408382]] and translation vector: [1.600176, 0.624978, 1.327739], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.627277, 0.311053, -0.713982], [0.778666, -0.267257, 0.567673], [-0.014241, -0.912041, -0.409851]] and translation vector: [1.601099, 0.627571, 1.328079], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.610657, 0.317655, -0.725393], [0.791862, -0.253314, 0.555685], [-0.007236, -0.913744, -0.406226]] and translation vector: [1.603666, 0.628049, 1.323957]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_135_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.283698, -0.38675, 0.877463], [-0.95878, 0.129662, -0.252839], [-0.015988, -0.913024, -0.407593]] and translation vector: [3.69525, 3.551647, 1.352095], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.292652, -0.378333, 0.878191], [-0.956147, 0.127043, -0.2639], [-0.011726, -0.91691, -0.398922]] and translation vector: [3.694781, 3.553972, 1.346799], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.31632, -0.391232, 0.864222], [-0.948647, 0.127329, -0.28958], [0.003253, -0.911441, -0.411418]] and translation vector: [3.701458, 3.559184, 1.352364]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_136_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.831143, 0.312948, -0.459636], [0.555586, 0.43327, -0.709649], [-0.022937, -0.845187, -0.533978]] and translation vector: [2.360292, 3.05803, 1.315354], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.8108, 0.328121, -0.484706], [0.584922, 0.423558, -0.691711], [-0.021664, -0.844355, -0.535346]] and translation vector: [2.374215, 3.08026, 1.318953], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.76064, 0.373644, -0.530865], [0.648502, 0.400127, -0.647568], [-0.029546, -0.836832, -0.546661]] and translation vector: [2.421989, 3.144455, 1.295588]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_137_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.963317, 0.154363, -0.219528], [0.260086, 0.335369, -0.905474], [-0.066149, -0.929355, -0.363214]] and translation vector: [5.972451, 2.818726, 1.468896], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.963149, 0.154275, -0.220326], [0.260736, 0.334417, -0.905639], [-0.066037, -0.929712, -0.362318]] and translation vector: [5.973901, 2.819783, 1.467855], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.966667, 0.155296, -0.203565], [0.245918, 0.341836, -0.907013], [-0.07127, -0.926839, -0.368632]] and translation vector: [5.982299, 2.822232, 1.456096]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_138_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.48142, 0.335029, -0.809933], [0.872625, 0.096524, -0.478757], [-0.08222, -0.937251, -0.338823]] and translation vector: [4.429162, 2.287411, 1.464776], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.484328, 0.331289, -0.809737], [0.871134, 0.09698, -0.481374], [-0.080946, -0.938532, -0.335568]] and translation vector: [4.432656, 2.285767, 1.465956], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.510728, 0.315618, -0.799714], [0.857732, 0.123483, -0.499047], [-0.058757, -0.940817, -0.333782]] and translation vector: [4.456876, 2.264055, 1.467574]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_139_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.233902, -0.58763, 0.774584], [-0.967246, -0.059828, 0.246692], [-0.098622, -0.806915, -0.582377]] and translation vector: [0.860343, 3.117731, 1.418568], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.233684, -0.587102, 0.775051], [-0.967496, -0.061159, 0.24538], [-0.096661, -0.8072, -0.58231]] and translation vector: [0.859973, 3.119137, 1.418853], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.249158, -0.592393, 0.766154], [-0.964448, -0.07981, 0.251935], [-0.088098, -0.801687, -0.591217]] and translation vector: [0.847042, 3.133789, 1.403155]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_140_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.645842, -0.099101, 0.757012], [-0.761541, -0.013148, 0.647984], [-0.054263, -0.994991, -0.083961]] and translation vector: [3.729951, 1.432448, 1.733539], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.649827, -0.099601, 0.753528], [-0.757797, -0.00807, 0.652441], [-0.058903, -0.994995, -0.080722]] and translation vector: [3.727943, 1.43259, 1.731865], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.662065, -0.092976, 0.743657], [-0.747389, -0.008433, 0.664333], [-0.055496, -0.995633, -0.075073]] and translation vector: [3.728372, 1.436196, 1.743771]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_141_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.924746, 0.145405, -0.351715], [0.379908, 0.407811, -0.830277], [0.022707, -0.901414, -0.432362]] and translation vector: [3.891577, 4.106122, 1.335216], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.925289, 0.144931, -0.350479], [0.378485, 0.412032, -0.828842], [0.024284, -0.899569, -0.436102]] and translation vector: [3.892777, 4.104329, 1.336806], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.936719, 0.138164, -0.321666], [0.349495, 0.42231, -0.836366], [0.020288, -0.89586, -0.443873]] and translation vector: [3.898582, 4.105442, 1.335634]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_142_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.896132, -0.052356, 0.440688], [-0.436974, -0.277444, 0.855616], [0.07747, -0.959314, -0.271505]] and translation vector: [3.211431, 3.110947, 1.584554], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.889709, -0.065096, 0.451863], [-0.451099, -0.277541, 0.848222], [0.070195, -0.958506, -0.276295]] and translation vector: [3.215954, 3.116336, 1.570817], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.866761, -0.113538, 0.485628], [-0.495946, -0.298858, 0.815305], [0.052566, -0.94752, -0.315347]] and translation vector: [3.24594, 3.15503, 1.569742]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_143_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.052123, 0.492225, -0.868906], [0.996177, 0.08671, -0.010637], [0.070107, -0.866138, -0.494863]] and translation vector: [3.27549, 2.071379, 1.287401], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.035278, 0.492309, -0.869705], [0.997133, 0.075637, 0.002369], [0.066948, -0.867128, -0.493566]] and translation vector: [3.286684, 2.076202, 1.285681], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.002481, 0.481037, -0.876697], [0.99848, 0.047075, 0.028655], [0.055055, -0.875436, -0.480189]] and translation vector: [3.329912, 2.119781, 1.289403]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_144_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.935878, -0.161972, 0.312885], [-0.352322, 0.433116, -0.829627], [-0.001139, -0.886666, -0.46241]] and translation vector: [1.123681, 2.231354, 1.408983], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.935522, -0.159, 0.315466], [-0.353249, 0.430874, -0.830399], [-0.003893, -0.888294, -0.459258]] and translation vector: [1.123559, 2.231523, 1.408322], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.93225, -0.177625, 0.315214], [-0.361774, 0.444334, -0.819565], [0.005515, -0.878076, -0.47849]] and translation vector: [1.117516, 2.230649, 1.39948]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_145_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.305635, -0.390507, 0.868385], [-0.952144, 0.122302, -0.280116], [0.003183, -0.91244, -0.409198]] and translation vector: [4.266061, 1.773856, 1.285079], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.300987, -0.399102, 0.866097], [-0.953628, 0.125052, -0.273781], [0.00096, -0.908339, -0.418234]] and translation vector: [4.263163, 1.772832, 1.291083], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.290604, -0.37367, 0.880863], [-0.956686, 0.130175, -0.260397], [-0.017364, -0.918382, -0.395314]] and translation vector: [4.197608, 1.767915, 1.309526]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_146_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.485844, -0.617081, 0.619005], [-0.873216, -0.311825, 0.374512], [-0.038083, -0.722479, -0.690343]] and translation vector: [-0.164865, 3.073333, 1.323993], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.482952, -0.621872, 0.616468], [-0.874972, -0.315096, 0.367612], [-0.034361, -0.716931, -0.696297]] and translation vector: [-0.16601, 3.069565, 1.320265], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.481893, -0.627462, 0.611613], [-0.875383, -0.314055, 0.367526], [-0.038529, -0.712503, -0.70061]] and translation vector: [-0.162661, 3.069695, 1.32373]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_147_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.82141, -0.124481, 0.556588], [-0.562763, -0.33543, 0.755503], [0.092651, -0.933805, -0.345579]] and translation vector: [1.795382, 2.457259, 1.379582], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.820332, -0.124179, 0.558243], [-0.564621, -0.330977, 0.75608], [0.090876, -0.935432, -0.341626]] and translation vector: [1.795684, 2.460531, 1.380001], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.815123, -0.112718, 0.568216], [-0.568956, -0.340207, 0.748698], [0.108919, -0.933571, -0.341442]] and translation vector: [1.795413, 2.484714, 1.377791]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_148_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.464707, 0.496079, -0.733453], [0.882598, 0.326106, -0.338639], [0.071191, -0.804711, -0.589382]] and translation vector: [2.864701, 0.868861, 1.204561], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.473617, 0.501904, -0.723726], [0.878064, 0.332992, -0.343688], [0.068496, -0.798254, -0.598414]] and translation vector: [2.869803, 0.866998, 1.20304], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.486908, 0.474562, -0.733288], [0.872245, 0.308313, -0.379646], [0.045917, -0.82446, -0.564055]] and translation vector: [2.890215, 0.843054, 1.203118]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_149_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.199941, 0.263531, -0.943703], [0.979453, -0.027844, 0.19974], [0.026362, -0.964249, -0.263683]] and translation vector: [3.611549, 3.757055, 1.562045], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.20075, 0.267793, -0.94233], [0.97934, -0.030969, 0.199834], [0.024331, -0.962979, -0.268477]] and translation vector: [3.608934, 3.756757, 1.557843], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.195501, 0.302185, -0.932986], [0.980511, -0.041383, 0.192056], [0.019427, -0.95235, -0.304386]] and translation vector: [3.586484, 3.775929, 1.547968]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_150_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.869565, 0.231948, -0.435955], [0.492522, 0.471291, -0.731647], [0.035758, -0.850932, -0.524058]] and translation vector: [2.750575, 3.154689, 1.290553], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.871211, 0.246607, -0.424472], [0.49036, 0.478017, -0.72873], [0.023195, -0.843022, -0.53738]] and translation vector: [2.712538, 3.137298, 1.287246], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.868111, 0.301221, -0.394523], [0.496051, 0.497976, -0.711305], [-0.017797, -0.813195, -0.581719]] and translation vector: [2.638672, 3.09301, 1.251808]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_151_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.606468, -0.360414, 0.70873], [-0.789578, -0.16805, 0.590192], [-0.093612, -0.91753, -0.386492]] and translation vector: [2.373669, 6.226582, 1.48631], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.603564, -0.356146, 0.713352], [-0.791899, -0.163667, 0.588311], [-0.092772, -0.919986, -0.380815]] and translation vector: [2.370215, 6.229294, 1.484576], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.585698, -0.348105, 0.731971], [-0.805739, -0.152014, 0.572431], [-0.087997, -0.925048, -0.369516]] and translation vector: [2.368074, 6.23172, 1.479712]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_152_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.414473, -0.491559, 0.765887], [-0.909569, 0.196057, -0.366396], [0.029948, -0.848488, -0.528367]] and translation vector: [0.955419, 3.497842, 1.497559], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.410009, -0.490704, 0.768832], [-0.911757, 0.198024, -0.359841], [0.024328, -0.848526, -0.528594]] and translation vector: [0.937857, 3.503192, 1.495427], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.398859, -0.490133, 0.775036], [-0.916862, 0.197836, -0.346736], [0.016617, -0.848899, -0.528293]] and translation vector: [0.908797, 3.515594, 1.497193]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_153_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.935902, 0.160482, -0.313582], [0.351212, -0.493772, 0.795512], [-0.027173, -0.854655, -0.518485]] and translation vector: [4.465, -0.226232, 1.550028], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.933656, 0.161027, -0.319933], [0.356818, -0.495752, 0.791777], [-0.03111, -0.853405, -0.520319]] and translation vector: [4.478531, -0.229773, 1.540292], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.918867, 0.198209, -0.341168], [0.393883, -0.511652, 0.763589], [-0.023209, -0.836017, -0.548212]] and translation vector: [4.561479, -0.239772, 1.527731]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_154_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.079918, -0.690871, 0.718547], [-0.996802, 0.055321, -0.057677], [9.6e-05, -0.720858, -0.693082]] and translation vector: [1.142658, 0.968078, 1.385987], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.080635, -0.691404, 0.717954], [-0.996742, 0.054488, -0.059473], [0.002, -0.72041, -0.693545]] and translation vector: [1.144302, 0.967344, 1.387927], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.084359, -0.697761, 0.711347], [-0.996391, 0.05228, -0.066881], [0.009477, -0.714421, -0.699652]] and translation vector: [1.144001, 0.956717, 1.378471]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_155_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.799511, 0.533863, -0.275266], [0.600541, 0.71925, -0.349328], [0.011492, -0.4446, -0.895656]] and translation vector: [2.031323, 2.312379, 1.200993], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.794986, 0.540559, -0.275306], [0.606553, 0.715482, -0.346669], [0.009582, -0.442584, -0.896676]] and translation vector: [2.031011, 2.313572, 1.199732], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.773021, 0.563749, -0.290906], [0.633995, 0.702534, -0.323259], [0.022134, -0.434318, -0.900488]] and translation vector: [2.034953, 2.302037, 1.199248]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_156_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.573389, -0.355745, 0.738018], [-0.818965, 0.223754, -0.528424], [0.02285, -0.907403, -0.419641]] and translation vector: [2.061407, 3.857203, 1.382209], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.569689, -0.351701, 0.742806], [-0.821614, 0.221591, -0.525212], [0.020118, -0.909508, -0.4152]] and translation vector: [2.058259, 3.848013, 1.384733], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.577204, -0.345215, 0.740042], [-0.816391, 0.223437, -0.532524], [0.018482, -0.911539, -0.410799]] and translation vector: [2.052109, 3.841456, 1.390313]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_157_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.998162, -0.007354, -0.06016], [0.055338, 0.294228, -0.954132], [0.024717, -0.955707, -0.293281]] and translation vector: [1.687981, 4.43329, 1.569003], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.998237, -0.004775, -0.059163], [0.055295, 0.287523, -0.956176], [0.021577, -0.957762, -0.286752]] and translation vector: [1.687716, 4.435163, 1.571974], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.998336, 0.001509, -0.057642], [0.055709, 0.283251, -0.957427], [0.014882, -0.959045, -0.282864]] and translation vector: [1.68694, 4.439428, 1.572118]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_158_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.633294, -0.360819, 0.684652], [-0.773758, -0.312806, 0.550863], [0.015401, -0.878613, -0.477285]] and translation vector: [3.241882, 3.386626, 1.367882], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.618852, -0.359339, 0.698497], [-0.785116, -0.311057, 0.535572], [0.02482, -0.87984, -0.47462]] and translation vector: [3.234923, 3.400149, 1.365622], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.596077, -0.384708, 0.704764], [-0.800029, -0.359087, 0.480636], [0.068167, -0.850327, -0.521821]] and translation vector: [3.228332, 3.407161, 1.324573]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_159_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.977514, -0.102294, 0.184398], [-0.210796, -0.497303, 0.841578], [0.005613, -0.861525, -0.507684]] and translation vector: [3.555602, 1.207732, 1.356493], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.976582, -0.105336, 0.187593], [-0.215087, -0.498001, 0.840079], [0.00493, -0.860755, -0.508995]] and translation vector: [3.555365, 1.207812, 1.356155], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.974531, -0.107289, 0.196922], [-0.224038, -0.504207, 0.834016], [0.009809, -0.856892, -0.515402]] and translation vector: [3.552069, 1.20032, 1.350158]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_160_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.934222, -0.219071, 0.281493], [-0.356558, -0.595286, 0.72007], [0.009823, -0.773073, -0.634241]] and translation vector: [0.331108, 1.989283, 1.551545], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.93341, -0.222981, 0.281114], [-0.358788, -0.589093, 0.724045], [0.004154, -0.776691, -0.629868]] and translation vector: [0.338532, 1.98258, 1.554168], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.924209, -0.231475, 0.303738], [-0.381819, -0.575084, 0.723528], [0.007196, -0.784664, -0.619879]] and translation vector: [0.352139, 1.976578, 1.57555]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_161_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.928375, -0.17783, 0.326339], [-0.371449, 0.415395, -0.830345], [0.012101, -0.892089, -0.451697]] and translation vector: [2.096006, 1.919092, 1.36174], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.929206, -0.177937, 0.323905], [-0.369314, 0.414969, -0.83151], [0.013546, -0.892266, -0.451307]] and translation vector: [2.095672, 1.922099, 1.363168], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.930649, -0.183615, 0.31651], [-0.365027, 0.405695, -0.837954], [0.025454, -0.895375, -0.444584]] and translation vector: [2.086709, 1.937528, 1.366332]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_162_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.699126, -0.324611, 0.637064], [-0.713802, 0.265353, -0.648131], [0.041344, -0.907863, -0.417224]] and translation vector: [0.050403, 3.78209, 1.506908], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.698648, -0.327666, 0.636024], [-0.713993, 0.262294, -0.649166], [0.045885, -0.907654, -0.417203]] and translation vector: [0.047406, 3.786517, 1.504266], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.671591, -0.353844, 0.650968], [-0.738623, 0.250587, -0.625813], [0.058316, -0.901111, -0.429649]] and translation vector: [0.057884, 3.801169, 1.498956]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_163_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.892065, -0.360019, 0.273141], [-0.443019, -0.577417, 0.685801], [-0.089185, -0.732786, -0.674589]] and translation vector: [2.898737, 2.45906, 1.649541], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.888376, -0.366176, 0.276954], [-0.450762, -0.581088, 0.677606], [-0.087189, -0.726809, -0.681283]] and translation vector: [2.873446, 2.440832, 1.651115], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.866588, -0.389647, 0.31177], [-0.495846, -0.601945, 0.625939], [-0.056227, -0.697021, -0.714843]] and translation vector: [2.802999, 2.373059, 1.651133]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_164_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.660671, 0.426343, -0.617856], [0.749322, -0.423957, 0.508701], [-0.045063, -0.799057, -0.599565]] and translation vector: [1.739014, 2.260029, 1.323145], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.661948, 0.412501, -0.625834], [0.748146, -0.41469, 0.517987], [-0.045857, -0.811095, -0.583114]] and translation vector: [1.741474, 2.257287, 1.327618], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.667808, 0.364392, -0.649039], [0.743671, -0.363436, 0.561132], [-0.031412, -0.857399, -0.513693]] and translation vector: [1.753926, 2.258369, 1.342793]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_165_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.997074, 0.061747, -0.045056], [0.074474, 0.651998, -0.754554], [-0.017215, -0.755702, -0.654689]] and translation vector: [1.815792, 5.369752, 1.288561], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.994543, 0.080066, -0.066881], [0.102674, 0.63762, -0.763478], [-0.018484, -0.766179, -0.642361]] and translation vector: [1.819087, 5.36055, 1.286161], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.977666, 0.151417, -0.145745], [0.209051, 0.629394, -0.748438], [-0.021596, -0.762191, -0.646992]] and translation vector: [1.833647, 5.312907, 1.282765]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_166_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.207785, -0.462455, 0.861952], [-0.977184, 0.13779, -0.161637], [-0.044019, -0.875871, -0.480534]] and translation vector: [2.720584, 1.654419, 1.522448], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.211008, -0.462778, 0.860995], [-0.976592, 0.137438, -0.165466], [-0.04176, -0.875755, -0.480946]] and translation vector: [2.717844, 1.649691, 1.521912], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.235215, -0.460817, 0.855758], [-0.971358, 0.142015, -0.190515], [-0.033738, -0.876059, -0.481022]] and translation vector: [2.714951, 1.646852, 1.521954]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_167_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.686341, -0.358824, 0.632599], [-0.727213, -0.35045, 0.590209], [0.009912, -0.865119, -0.50147]] and translation vector: [2.486494, 4.601647, 1.455454], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.681394, -0.352774, 0.64129], [-0.731846, -0.340576, 0.590263], [0.010179, -0.871527, -0.490243]] and translation vector: [2.480601, 4.595852, 1.449959], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.622935, -0.386366, 0.680202], [-0.78205, -0.328403, 0.52967], [0.018734, -0.861901, -0.50673]] and translation vector: [2.469727, 4.596006, 1.44499]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_168_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.482968, -0.397392, 0.78027], [-0.874514, 0.173759, -0.452807], [0.044362, -0.901048, -0.431445]] and translation vector: [8.974016, 2.795387, 1.945192], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.496352, -0.388832, 0.776173], [-0.867003, 0.176647, -0.465943], [0.044064, -0.904216, -0.424797]] and translation vector: [8.98292, 2.792107, 1.939625], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.528625, -0.374982, 0.76154], [-0.848241, 0.199205, -0.490719], [0.032308, -0.905376, -0.42338]] and translation vector: [9.019628, 2.751405, 1.924251]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_169_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.891251, 0.378307, -0.25011], [0.443048, 0.608538, -0.658323], [-0.096846, -0.697542, -0.709969]] and translation vector: [4.935522, 3.588868, 1.45033], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.887006, 0.383874, -0.256633], [0.452131, 0.60913, -0.651566], [-0.093796, -0.693975, -0.713864]] and translation vector: [4.940225, 3.582454, 1.45688], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.875452, 0.38739, -0.288987], [0.475285, 0.581583, -0.660201], [-0.087685, -0.715325, -0.693269]] and translation vector: [4.970656, 3.561422, 1.469218]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_170_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.530794, 0.426739, -0.732224], [0.841151, 0.159702, -0.516681], [-0.10355, -0.890162, -0.443721]] and translation vector: [5.418979, 4.373359, 1.385162], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.532043, 0.421439, -0.734384], [0.841755, 0.169492, -0.512564], [-0.091542, -0.890877, -0.444925]] and translation vector: [5.415919, 4.39552, 1.38299], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.539398, 0.40032, -0.740806], [0.839984, 0.194205, -0.506666], [-0.05896, -0.89556, -0.441017]] and translation vector: [5.414681, 4.463818, 1.378667]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_171_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.086843, 0.425015, -0.901011], [0.995696, 0.066429, -0.064634], [0.032383, -0.902745, -0.428955]] and translation vector: [4.261571, 5.85756, 1.66629], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.086953, 0.422316, -0.902268], [0.995713, 0.06553, -0.065286], [0.031554, -0.904077, -0.426204]] and translation vector: [4.260677, 5.865657, 1.669414], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.081846, 0.421358, -0.903194], [0.995927, 0.068976, -0.058071], [0.03783, -0.904268, -0.425287]] and translation vector: [4.263237, 5.864869, 1.673574]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_172_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.725417, 0.297171, -0.620854], [0.687848, -0.279954, 0.669695], [0.025203, -0.912861, -0.407492]] and translation vector: [3.434752, 3.057745, 1.556519], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.722045, 0.303192, -0.621873], [0.691238, -0.278447, 0.666827], [0.029018, -0.911341, -0.410629]] and translation vector: [3.433538, 3.052318, 1.549734], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.693174, 0.307801, -0.651742], [0.720057, -0.255516, 0.645158], [0.032049, -0.916499, -0.398751]] and translation vector: [3.420418, 3.038936, 1.558387]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_173_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.032646, 0.194727, -0.980314], [0.998594, -0.034636, -0.040135], [-0.04177, -0.980246, -0.193322]] and translation vector: [3.506056, 2.493951, 1.706783], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.038857, 0.192835, -0.980462], [0.998032, -0.040846, -0.047587], [-0.049225, -0.980381, -0.190868]] and translation vector: [3.502031, 2.499079, 1.701362], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.064111, 0.226282, -0.97195], [0.996323, -0.040955, -0.075254], [-0.056835, -0.9732, -0.222824]] and translation vector: [3.459589, 2.490182, 1.701209]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_174_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.881415, -0.308012, 0.3581], [-0.47008, 0.646119, -0.601294], [-0.046169, -0.698325, -0.71429]] and translation vector: [3.147524, 1.689608, 1.273114], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.879224, -0.311908, 0.360109], [-0.474637, 0.638627, -0.605703], [-0.041052, -0.703469, -0.709539]] and translation vector: [3.141599, 1.689583, 1.27073], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.878218, -0.323901, 0.351882], [-0.476941, 0.647734, -0.594111], [-0.035492, -0.689586, -0.723334]] and translation vector: [3.127244, 1.682619, 1.264528]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_175_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.467192, 0.317292, -0.825262], [0.883302, -0.126478, 0.451421], [0.038855, -0.939856, -0.339354]] and translation vector: [2.723032, 3.168159, 1.438168], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.467636, 0.312306, -0.826911], [0.883318, -0.130557, 0.450227], [0.03265, -0.940968, -0.336919]] and translation vector: [2.722188, 3.168039, 1.441817], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.470302, 0.305008, -0.828122], [0.881834, -0.125828, 0.454462], [0.034414, -0.944001, -0.328143]] and translation vector: [2.718763, 3.171866, 1.451475]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_176_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.943065, -0.17817, 0.280864], [-0.332105, 0.550897, -0.765649], [-0.018311, -0.815333, -0.578703]] and translation vector: [2.74599, 1.673222, 1.294065], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.942639, -0.173012, 0.285478], [-0.332909, 0.550136, -0.765848], [-0.024551, -0.816957, -0.576177]] and translation vector: [2.737266, 1.663808, 1.300966], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.942881, -0.164787, 0.289518], [-0.331772, 0.54291, -0.771477], [-0.030053, -0.823465, -0.566571]] and translation vector: [2.712684, 1.645235, 1.301017]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_177_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.695296, -0.421579, 0.582095], [-0.717067, -0.351947, 0.601622], [-0.048765, -0.835707, -0.547007]] and translation vector: [2.470866, 0.652559, 1.473924], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.695871, -0.418819, 0.583399], [-0.716734, -0.353708, 0.600986], [-0.045352, -0.83635, -0.546317]] and translation vector: [2.469546, 0.651931, 1.473078], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.693531, -0.42586, 0.581085], [-0.719633, -0.371637, 0.586528], [-0.033826, -0.824943, -0.564204]] and translation vector: [2.467637, 0.650008, 1.462326]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_178_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.748873, -0.374013, 0.547087], [-0.662404, -0.447673, 0.600675], [0.020256, -0.812221, -0.582998]] and translation vector: [3.709567, 4.406117, 1.261793], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.747082, -0.370975, 0.551585], [-0.664465, -0.440253, 0.603874], [0.018814, -0.817652, -0.575405]] and translation vector: [3.708719, 4.403161, 1.261416], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.743545, -0.377269, 0.552096], [-0.66849, -0.439378, 0.600057], [0.016196, -0.81524, -0.578898]] and translation vector: [3.708687, 4.402202, 1.259327]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_179_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.925351, 0.122106, -0.358909], [0.376741, 0.190476, -0.906524], [-0.042329, -0.974068, -0.222259]] and translation vector: [4.735593, 2.732706, 1.21643], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.924788, 0.125024, -0.359357], [0.377675, 0.187086, -0.906841], [-0.046146, -0.974355, -0.220234]] and translation vector: [4.740286, 2.733964, 1.218072], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.925715, 0.103215, -0.363867], [0.37582, 0.142741, -0.915633], [-0.042569, -0.984363, -0.170928]] and translation vector: [4.730338, 2.742957, 1.247444]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_180_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.264492, -0.222038, 0.938479], [-0.962334, 0.002714, 0.271857], [-0.062909, -0.975034, -0.212957]] and translation vector: [0.925816, 4.784833, 1.497389], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.263009, -0.220134, 0.939344], [-0.962729, 0.003779, 0.270443], [-0.063084, -0.975462, -0.210935]] and translation vector: [0.925807, 4.784041, 1.498483], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.243124, -0.227834, 0.942858], [-0.968357, -0.000546, 0.249567], [-0.056345, -0.9737, -0.220758]] and translation vector: [0.931793, 4.784123, 1.4987]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_181_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.173351, 0.592298, -0.78685], [0.984858, -0.105806, 0.137329], [-0.001913, -0.798742, -0.601671]] and translation vector: [3.264189, 1.940071, 1.28435], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.172933, 0.589263, -0.789217], [0.98493, -0.105695, 0.136901], [-0.002745, -0.800998, -0.598661]] and translation vector: [3.267153, 1.942133, 1.284021], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.139436, 0.623012, -0.769684], [0.990166, -0.096604, 0.101183], [-0.011316, -0.776224, -0.630355]] and translation vector: [3.29114, 1.970334, 1.268272]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_182_7.jpg" ]
D
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.442667, -0.46733, 0.765277], [-0.896368, 0.253361, -0.363776], [-0.023888, -0.847001, -0.531054]] and translation vector: [2.453469, 1.905797, 1.451684], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.441405, -0.472001, 0.763136], [-0.897015, 0.253848, -0.361837], [-0.022933, -0.844261, -0.535442]] and translation vector: [2.45238, 1.90449, 1.449179], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.442687, -0.461983, 0.768505], [-0.8965, 0.24504, -0.369112], [-0.017791, -0.852366, -0.522643]] and translation vector: [2.451253, 1.899634, 1.462124]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_183_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.643628, -0.362528, 0.674031], [-0.765241, -0.290748, 0.574345], [-0.012243, -0.88546, -0.464555]] and translation vector: [2.632762, 2.243425, 1.452714], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.642371, -0.361874, 0.675579], [-0.76623, -0.285016, 0.575898], [-0.015852, -0.887589, -0.460364]] and translation vector: [2.634792, 2.237319, 1.452971], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.637523, -0.35682, 0.682821], [-0.770314, -0.279737, 0.573031], [-0.013459, -0.891306, -0.453202]] and translation vector: [2.638724, 2.233015, 1.462981]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_184_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.731293, 0.384445, -0.563394], [0.682011, 0.401944, -0.610984], [-0.008437, -0.831049, -0.556135]] and translation vector: [5.176627, 2.209938, 1.427488], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.733453, 0.387758, -0.558292], [0.679719, 0.411882, -0.606907], [-0.005383, -0.82462, -0.565663]] and translation vector: [5.175584, 2.209993, 1.422561], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.739748, 0.384821, -0.551984], [0.672884, 0.424134, -0.606084], [0.000881, -0.819771, -0.572692]] and translation vector: [5.164479, 2.208437, 1.426833]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_185_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.996822, -0.027813, -0.074656], [0.056495, -0.413943, 0.908548], [-0.056173, -0.909878, -0.411056]] and translation vector: [4.405487, 5.403347, 1.494535], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.996757, -0.027349, -0.075677], [0.057466, -0.416379, 0.907373], [-0.056327, -0.90878, -0.413457]] and translation vector: [4.408994, 5.403286, 1.494292], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.997265, -0.029561, -0.067745], [0.049832, -0.408017, 0.911613], [-0.05459, -0.912496, -0.405428]] and translation vector: [4.415172, 5.400004, 1.499593]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_186_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.789457, 0.162095, -0.592016], [0.613764, 0.197318, -0.764434], [-0.007096, -0.966846, -0.255262]] and translation vector: [5.114759, 3.17533, 1.386193], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.785271, 0.158609, -0.598492], [0.619131, 0.193201, -0.761151], [-0.005096, -0.968255, -0.249915]] and translation vector: [5.11251, 3.170745, 1.383731], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.782732, 0.165019, -0.600083], [0.622288, 0.192888, -0.758652], [-0.009443, -0.967245, -0.253669]] and translation vector: [5.104394, 3.153102, 1.37449]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_187_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.95695, -0.100486, 0.272304], [-0.288986, 0.24231, -0.92616], [0.027085, -0.964981, -0.260918]] and translation vector: [1.227478, 4.879099, 1.55452], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.957752, -0.097454, 0.27058], [-0.286469, 0.240112, -0.927514], [0.025421, -0.965841, -0.257885]] and translation vector: [1.221714, 4.885019, 1.554874], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.941817, -0.081741, 0.326036], [-0.336056, 0.20922, -0.91831], [0.00685, -0.974446, -0.224516]] and translation vector: [1.204022, 4.901892, 1.569033]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_188_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.982764, 0.054289, -0.17671], [0.184841, -0.27426, 0.943724], [0.002769, -0.960122, -0.279568]] and translation vector: [4.072058, 1.220293, 1.47625], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.982485, 0.057917, -0.177113], [0.186218, -0.270474, 0.944546], [0.0068, -0.960984, -0.276522]] and translation vector: [4.071517, 1.218265, 1.477941], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.980674, 0.05705, -0.187148], [0.195532, -0.252477, 0.947641], [0.006813, -0.96592, -0.258752]] and translation vector: [4.0711, 1.209071, 1.48705]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_189_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.693623, 0.392298, -0.604144], [0.720137, 0.397492, -0.568686], [0.017048, -0.82952, -0.558217]] and translation vector: [2.706242, 2.586761, 1.453005], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.690051, 0.396658, -0.605386], [0.723517, 0.399766, -0.56277], [0.018785, -0.826347, -0.562848]] and translation vector: [2.704536, 2.590014, 1.45316], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.674504, 0.428853, -0.600941], [0.737993, 0.414011, -0.53288], [0.020269, -0.80292, -0.595742]] and translation vector: [2.699649, 2.603579, 1.443268]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_190_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.610102, 0.375008, -0.697958], [0.791763, 0.255448, -0.554849], [-0.029781, -0.891132, -0.452767]] and translation vector: [2.349929, 1.419923, 1.358478], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.607496, 0.374505, -0.700496], [0.793845, 0.255679, -0.551759], [-0.027534, -0.891277, -0.452623]] and translation vector: [2.354864, 1.421781, 1.358478], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.579764, 0.373065, -0.724359], [0.814546, 0.24389, -0.526338], [-0.019694, -0.895176, -0.445277]] and translation vector: [2.359462, 1.423068, 1.367348]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_191_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.081815, 0.638296, -0.765431], [0.996577, -0.061545, 0.055199], [-0.011875, -0.767327, -0.641146]] and translation vector: [3.004073, 1.570726, 1.431248], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.083332, 0.64082, -0.763155], [0.996457, -0.062303, 0.056492], [-0.011346, -0.765159, -0.643742]] and translation vector: [3.00242, 1.571458, 1.432065], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.083112, 0.654572, -0.751417], [0.996444, -0.065065, 0.053535], [-0.013848, -0.753195, -0.657652]] and translation vector: [3.01468, 1.572497, 1.43131]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_192_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.348231, 0.123124, -0.929288], [0.936413, -1.6e-05, 0.350899], [0.043189, -0.992391, -0.1153]] and translation vector: [2.712005, 2.075202, 1.464169], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.348319, 0.120186, -0.929639], [0.93641, 0.000395, 0.350907], [0.042542, -0.992751, -0.112406]] and translation vector: [2.712393, 2.076758, 1.463984], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.330226, 0.128954, -0.935052], [0.94318, -0.00633, 0.332223], [0.036923, -0.99163, -0.123717]] and translation vector: [2.702959, 2.087481, 1.468829]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_193_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.524333, 0.441188, -0.728305], [0.848808, -0.202677, 0.488311], [0.067827, -0.874228, -0.480754]] and translation vector: [3.10696, 1.250425, 1.344077], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.531491, 0.437044, -0.72561], [0.844432, -0.205894, 0.494513], [0.066725, -0.875557, -0.478485]] and translation vector: [3.107462, 1.25329, 1.344278], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.56012, 0.431145, -0.707375], [0.826071, -0.226557, 0.516021], [0.062219, -0.873376, -0.483056]] and translation vector: [3.110022, 1.262991, 1.348097]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_194_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.000188, -0.47362, 0.88073], [-0.997828, 0.057931, 0.031365], [-0.065877, -0.878822, -0.47258]] and translation vector: [4.366519, 5.511691, 1.307889], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.002248, -0.465195, 0.885205], [-0.998254, 0.053289, 0.02547], [-0.05902, -0.883603, -0.464503]] and translation vector: [4.36891, 5.516212, 1.317108], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.024267, -0.440835, 0.89726], [-0.998159, 0.06059, 0.002773], [-0.055588, -0.895541, -0.441493]] and translation vector: [4.36929, 5.527184, 1.331889]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_5.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_195_7.png" ]
B
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.819759, -0.274444, 0.502669], [-0.572709, 0.39303, -0.719397], [-0.00013, -0.877615, -0.479366]] and translation vector: [2.765326, 1.370172, 1.355227], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.819555, -0.26888, 0.505998], [-0.572993, 0.389095, -0.721307], [-0.002936, -0.881084, -0.472951]] and translation vector: [2.765196, 1.369276, 1.358405], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.80543, -0.264338, 0.530479], [-0.592674, 0.365802, -0.717584], [-0.004366, -0.892365, -0.451294]] and translation vector: [2.783833, 1.382351, 1.368477]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_196_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.060487, 0.154719, -0.986105], [0.998165, 0.006603, -0.060191], [-0.002801, -0.987936, -0.154835]] and translation vector: [6.630666, 2.572317, 1.44523], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.062036, 0.175232, -0.982571], [0.998074, 0.011306, -0.060998], [0.00042, -0.984462, -0.175596]] and translation vector: [6.62843, 2.567178, 1.442285], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.077658, 0.209818, -0.974652], [0.996978, 0.01426, -0.076367], [-0.002124, -0.977636, -0.210291]] and translation vector: [6.626263, 2.56408, 1.439607]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_4.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_197_7.png" ]
A
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.286652, 0.220257, -0.932372], [0.958024, -0.061246, 0.28007], [0.004584, -0.973517, -0.228568]] and translation vector: [3.76659, 1.676076, 1.452194], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[0.299829, 0.216367, -0.929133], [0.953977, -0.07366, 0.290693], [-0.005544, -0.973529, -0.228495]] and translation vector: [3.753121, 1.670498, 1.452776], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[0.332229, 0.205241, -0.920597], [0.943053, -0.089416, 0.320398], [-0.016558, -0.974618, -0.22326]] and translation vector: [3.692962, 1.621141, 1.4585]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_6.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_198_7.png" ]
C
threeD_Scene_Reconstruction
3d image
SCANNET_threed_scene_reconstruction
A: The 5th image B: The 6th image C: The 7th image D: The 8th image
Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.409087, -0.112571, 0.905525], [-0.910894, 0.109148, -0.397943], [-0.05404, -0.987631, -0.147191]] and translation vector: [4.421403, 3.579741, 1.526424], and another pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.417977, -0.10834, 0.901974], [-0.906895, 0.107978, -0.407287], [-0.053267, -0.988232, -0.143386]] and translation vector: [4.418822, 3.582731, 1.526625], please estimate the RGB image for the query camera pose, i.e., rotation matrix: [[-0.44932, -0.10036, 0.887716], [-0.891042, 0.12205, -0.437205], [-0.064468, -0.987437, -0.144264]] and translation vector: [4.403283, 3.625828, 1.518726]. The provided camera poses represent the the transformation from the camera coordinate system to the world coordinate system.
Your task is to reconstruct the 3D geometry of a scene. This is tested through the image retrieval for a specific camera pose. The input images are the first 4 images Select from the following choices. A: The 5th image B: The 6th image C: The 7th image D: The 8th image
[ "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_0.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_1.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_2.jpg", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_3.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_4.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_5.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_6.png", "./3D-spatial/threeD_Scene_Reconstruction/threeD_Scene_Reconstruction_199_7.jpg" ]
D
threeD_Object_Detection
3d image
SCANNET_threed_bbox_detection
A: [[0.097, -2.343, -0.119, 0.31, 0.062, 0.564], [-0.682, 2.2, 0.854, 0.245, 0.21, 0.887], [1.912, 1.405, 1.111, 0.468, 0.452, 0.649], [1.666, 2.151, 1.319, 0.566, 0.243, 0.586], [1.68, 1.827, 0.754, -0.048, 0.681, 0.119], [1.224, 1.284, 0.947, -0.031, 0.464, 0.194], [1.776, 1.335, 0.376, 0.886, 0.055, 0.335], [1.559, 1.179, 1.34, -0.063, -0.136, -0.017], [0.95, 0.255, 1.046, -0.137, 0.36, -0.187], [1.987, 0.956, 0.62, 0.226, -0.239, 0.309], [1.652, 0.525, 1.179, 0.104, 0.539, -0.125], [1.409, 0.711, 0.681, 0.259, 0.215, 0.643], [1.086, -0.177, -0.123, 0.706, 0.621, 0.551], [1.203, 1.982, 0.324, 0.158, 0.718, -0.1], [-1.373, -0.521, 0.674, -0.225, 0.726, 0.299], [-0.949, 2.103, 0.551, 0.314, 0.298, 0.513], [-0.76, 1.491, 2.338, 0.158, -0.084, 0.396], [1.233, -0.382, 0.447, 0.091, 0.059, -0.038], [1.9, -1.181, 1.39, 0.188, -0.114, -0.011]] B: [[-0.029, -1.923, 0.096, 0.249, 0.113, 0.317], [-0.92, 1.815, 0.646, 0.107, 0.184, 0.516], [1.611, 1.619, 0.954, 0.253, 0.266, 0.249], [1.544, 1.826, 0.949, 0.149, 0.178, 0.182], [1.432, 1.79, 0.87, 0.251, 0.301, 0.054], [1.423, 1.326, 0.897, 0.087, 0.104, 0.188], [1.554, 0.837, 0.836, 0.609, 0.432, 0.17], [1.27, 0.844, 0.842, 0.093, 0.107, 0.179], [1.248, 0.676, 0.764, 0.25, 0.269, 0.064], [1.848, 0.645, 0.825, 0.074, 0.102, 0.07], [1.69, 0.454, 0.837, 0.248, 0.167, 0.182], [1.715, 0.276, 0.86, 0.335, 0.399, 0.17], [1.4, -0.193, 0.037, 0.353, 0.275, 0.161], [1.684, 1.781, 0.29, 0.433, 0.395, 0.339], [-1.62, -0.65, 0.742, 0.272, 0.321, 0.114], [-0.975, 1.832, 0.171, 0.262, 0.195, 0.125], [-1.021, 1.599, 2.098, 0.217, 0.273, 0.221], [1.433, 0.084, 0.074, 0.398, 0.344, 0.176], [1.733, -1.208, 1.076, 0.125, 0.108, 0.327]] C: [[0.373, -2.148, -0.291, 0.339, 0.018, 0.694], [-0.499, 2.165, 0.993, 0.276, 0.335, 0.775], [1.74, 1.478, 1.323, -0.069, 0.758, 0.607], [1.532, 2.302, 1.262, 0.285, 0.22, -0.252], [1.323, 1.537, 0.593, 0.351, 0.467, 0.392], [1.364, 1.041, 1.236, 0.12, 0.57, 0.444], [1.442, 1.263, 1.284, 1.004, 0.007, 0.304], [1.115, 0.536, 0.672, -0.113, -0.219, -0.082], [1.743, 0.762, 0.395, 0.159, 0.41, 0.323], [2.121, 0.573, 0.527, -0.324, 0.247, 0.462], [1.447, 0.752, 1.299, 0.299, 0.347, 0.233], [1.92, 0.62, 0.769, -0.13, 0.686, -0.059], [0.942, 0.049, -0.066, 0.316, 0.607, 0.459], [2.077, 2.024, 0.781, 0.373, -0.058, 0.752], [-1.491, -0.599, 0.622, 0.707, -0.171, -0.319], [-1.023, 1.772, -0.236, 0.203, 0.47, 0.117], [-0.596, 1.76, 1.726, 0.197, 0.073, 0.18], [1.574, 0.398, 0.118, 0.732, 0.235, 0.24], [1.654, -1.081, 1.126, -0.043, 0.128, 0.085]] D: [[-0.016, -2.182, 0.529, 0.012, -0.234, 0.082], [-0.638, 1.532, 1.107, 0.49, 0.648, 0.861], [1.27, 1.262, 1.438, 0.461, 0.457, 0.658], [1.731, 1.955, 1.411, 0.079, 0.038, 0.636], [1.916, 1.8, 0.455, 0.749, 0.555, 0.441], [1.273, 0.97, 0.909, 0.183, -0.155, 0.402], [1.478, 1.046, 1.305, 0.37, 0.729, 0.224], [1.279, 0.48, 0.354, 0.143, -0.211, 0.086], [1.055, 0.494, 1.055, -0.029, 0.559, -0.151], [2.256, 0.151, 1.167, -0.326, -0.138, 0.075], [1.326, 0.605, 0.815, -0.119, 0.42, 0.177], [2.172, 0.341, 0.688, 0.742, 0.292, 0.566], [1.621, -0.605, 0.175, 0.538, -0.117, 0.628], [1.477, 1.542, -0.082, 0.684, 0.168, -0.065], [-1.675, -0.211, 0.417, 0.169, -0.09, -0.164], [-1.277, 1.624, 0.657, -0.231, 0.334, -0.097], [-0.751, 1.371, 1.707, -0.044, 0.702, 0.452], [1.41, -0.207, 0.284, 0.114, 0.651, -0.312], [1.447, -0.888, 1.553, -0.369, 0.402, 0.174]]
Given a RGB image and a depth image, please detect the 3D bounding box of the object in the scene. The camera pose information includes: the rotation matrix: [[0.86482, -0.183466, 0.467362], [-0.501092, -0.256948, 0.826368], [-0.031523, -0.948851, -0.314147]]; the translation vector: [3.012278, 2.022242, 1.442339], representing the transformation from the camera coordinate system to the world coordinate system. For each detected object, provide the output in this format, i.e., [x, y, z, x_size, y_size, z_size]. Here, [x, y, z] represents the gravity center of the 3D bounding boxes in the world coordinate system, [x_size, y_size, z_size] represents the width, height, and length of the 3D bounding box.
Your task is to detect objects in 3D space using a scan of RGB-Depth image pair. Select from the following choices. A: [[0.097, -2.343, -0.119, 0.31, 0.062, 0.564], [-0.682, 2.2, 0.854, 0.245, 0.21, 0.887], [1.912, 1.405, 1.111, 0.468, 0.452, 0.649], [1.666, 2.151, 1.319, 0.566, 0.243, 0.586], [1.68, 1.827, 0.754, -0.048, 0.681, 0.119], [1.224, 1.284, 0.947, -0.031, 0.464, 0.194], [1.776, 1.335, 0.376, 0.886, 0.055, 0.335], [1.559, 1.179, 1.34, -0.063, -0.136, -0.017], [0.95, 0.255, 1.046, -0.137, 0.36, -0.187], [1.987, 0.956, 0.62, 0.226, -0.239, 0.309], [1.652, 0.525, 1.179, 0.104, 0.539, -0.125], [1.409, 0.711, 0.681, 0.259, 0.215, 0.643], [1.086, -0.177, -0.123, 0.706, 0.621, 0.551], [1.203, 1.982, 0.324, 0.158, 0.718, -0.1], [-1.373, -0.521, 0.674, -0.225, 0.726, 0.299], [-0.949, 2.103, 0.551, 0.314, 0.298, 0.513], [-0.76, 1.491, 2.338, 0.158, -0.084, 0.396], [1.233, -0.382, 0.447, 0.091, 0.059, -0.038], [1.9, -1.181, 1.39, 0.188, -0.114, -0.011]] B: [[-0.029, -1.923, 0.096, 0.249, 0.113, 0.317], [-0.92, 1.815, 0.646, 0.107, 0.184, 0.516], [1.611, 1.619, 0.954, 0.253, 0.266, 0.249], [1.544, 1.826, 0.949, 0.149, 0.178, 0.182], [1.432, 1.79, 0.87, 0.251, 0.301, 0.054], [1.423, 1.326, 0.897, 0.087, 0.104, 0.188], [1.554, 0.837, 0.836, 0.609, 0.432, 0.17], [1.27, 0.844, 0.842, 0.093, 0.107, 0.179], [1.248, 0.676, 0.764, 0.25, 0.269, 0.064], [1.848, 0.645, 0.825, 0.074, 0.102, 0.07], [1.69, 0.454, 0.837, 0.248, 0.167, 0.182], [1.715, 0.276, 0.86, 0.335, 0.399, 0.17], [1.4, -0.193, 0.037, 0.353, 0.275, 0.161], [1.684, 1.781, 0.29, 0.433, 0.395, 0.339], [-1.62, -0.65, 0.742, 0.272, 0.321, 0.114], [-0.975, 1.832, 0.171, 0.262, 0.195, 0.125], [-1.021, 1.599, 2.098, 0.217, 0.273, 0.221], [1.433, 0.084, 0.074, 0.398, 0.344, 0.176], [1.733, -1.208, 1.076, 0.125, 0.108, 0.327]] C: [[0.373, -2.148, -0.291, 0.339, 0.018, 0.694], [-0.499, 2.165, 0.993, 0.276, 0.335, 0.775], [1.74, 1.478, 1.323, -0.069, 0.758, 0.607], [1.532, 2.302, 1.262, 0.285, 0.22, -0.252], [1.323, 1.537, 0.593, 0.351, 0.467, 0.392], [1.364, 1.041, 1.236, 0.12, 0.57, 0.444], [1.442, 1.263, 1.284, 1.004, 0.007, 0.304], [1.115, 0.536, 0.672, -0.113, -0.219, -0.082], [1.743, 0.762, 0.395, 0.159, 0.41, 0.323], [2.121, 0.573, 0.527, -0.324, 0.247, 0.462], [1.447, 0.752, 1.299, 0.299, 0.347, 0.233], [1.92, 0.62, 0.769, -0.13, 0.686, -0.059], [0.942, 0.049, -0.066, 0.316, 0.607, 0.459], [2.077, 2.024, 0.781, 0.373, -0.058, 0.752], [-1.491, -0.599, 0.622, 0.707, -0.171, -0.319], [-1.023, 1.772, -0.236, 0.203, 0.47, 0.117], [-0.596, 1.76, 1.726, 0.197, 0.073, 0.18], [1.574, 0.398, 0.118, 0.732, 0.235, 0.24], [1.654, -1.081, 1.126, -0.043, 0.128, 0.085]] D: [[-0.016, -2.182, 0.529, 0.012, -0.234, 0.082], [-0.638, 1.532, 1.107, 0.49, 0.648, 0.861], [1.27, 1.262, 1.438, 0.461, 0.457, 0.658], [1.731, 1.955, 1.411, 0.079, 0.038, 0.636], [1.916, 1.8, 0.455, 0.749, 0.555, 0.441], [1.273, 0.97, 0.909, 0.183, -0.155, 0.402], [1.478, 1.046, 1.305, 0.37, 0.729, 0.224], [1.279, 0.48, 0.354, 0.143, -0.211, 0.086], [1.055, 0.494, 1.055, -0.029, 0.559, -0.151], [2.256, 0.151, 1.167, -0.326, -0.138, 0.075], [1.326, 0.605, 0.815, -0.119, 0.42, 0.177], [2.172, 0.341, 0.688, 0.742, 0.292, 0.566], [1.621, -0.605, 0.175, 0.538, -0.117, 0.628], [1.477, 1.542, -0.082, 0.684, 0.168, -0.065], [-1.675, -0.211, 0.417, 0.169, -0.09, -0.164], [-1.277, 1.624, 0.657, -0.231, 0.334, -0.097], [-0.751, 1.371, 1.707, -0.044, 0.702, 0.452], [1.41, -0.207, 0.284, 0.114, 0.651, -0.312], [1.447, -0.888, 1.553, -0.369, 0.402, 0.174]]
[ "./3D-spatial/threeD_Object_Detection/threeD_Object_Detection_0_0.jpg", "./3D-spatial/threeD_Object_Detection/threeD_Object_Detection_0_1.png" ]
B
threeD_Object_Detection
3d image
SCANNET_threed_bbox_detection
A: [[-2.373, -1.08, 0.874, 0.298, 4.385, 1.982], [2.17, -0.036, 1.086, 0.309, 6.903, 1.887], [0.087, 4.155, 1.455, 2.931, 0.24, 1.054], [-2.394, 2.523, 0.998, 0.208, 1.864, 1.096]] B: [[-2.011, -0.956, 1.222, 0.755, 4.764, 2.451], [2.068, 0.255, 0.587, 0.436, 7.258, 1.991], [0.329, 4.55, 1.265, 3.421, 0.529, 1.367], [-2.081, 2.555, 0.715, 0.343, 1.488, 1.021]] C: [[-2.751, -0.591, 0.65, -0.115, 4.495, 2.351], [1.978, 0.331, 1.034, 0.171, 7.03, 2.051], [0.03, 3.84, 1.693, 3.348, 0.554, 1.247], [-2.636, 2.957, 1.408, -0.018, 1.435, 1.132]] D: [[-2.401, -1.35, 0.706, 0.08, 4.387, 2.134], [2.651, -0.401, 0.766, 0.612, 6.557, 1.511], [0.041, 3.914, 1.655, 3.173, 0.701, 0.821], [-2.147, 2.752, 0.898, 0.388, 2.028, 1.081]]
Given a RGB image and a depth image, please detect the 3D bounding box of the wall in the scene. The camera pose information includes: the rotation matrix: [[-0.060487, 0.154719, -0.986105], [0.998165, 0.006603, -0.060191], [-0.002801, -0.987936, -0.154835]]; the translation vector: [6.630666, 2.572317, 1.44523], representing the transformation from the camera coordinate system to the world coordinate system. For each detected object, provide the output in this format, i.e., [x, y, z, x_size, y_size, z_size]. Here, [x, y, z] represents the gravity center of the 3D bounding boxes in the world coordinate system, [x_size, y_size, z_size] represents the width, height, and length of the 3D bounding box.
Your task is to detect objects in 3D space using a scan of RGB-Depth image pair. Select from the following choices. A: [[-2.373, -1.08, 0.874, 0.298, 4.385, 1.982], [2.17, -0.036, 1.086, 0.309, 6.903, 1.887], [0.087, 4.155, 1.455, 2.931, 0.24, 1.054], [-2.394, 2.523, 0.998, 0.208, 1.864, 1.096]] B: [[-2.011, -0.956, 1.222, 0.755, 4.764, 2.451], [2.068, 0.255, 0.587, 0.436, 7.258, 1.991], [0.329, 4.55, 1.265, 3.421, 0.529, 1.367], [-2.081, 2.555, 0.715, 0.343, 1.488, 1.021]] C: [[-2.751, -0.591, 0.65, -0.115, 4.495, 2.351], [1.978, 0.331, 1.034, 0.171, 7.03, 2.051], [0.03, 3.84, 1.693, 3.348, 0.554, 1.247], [-2.636, 2.957, 1.408, -0.018, 1.435, 1.132]] D: [[-2.401, -1.35, 0.706, 0.08, 4.387, 2.134], [2.651, -0.401, 0.766, 0.612, 6.557, 1.511], [0.041, 3.914, 1.655, 3.173, 0.701, 0.821], [-2.147, 2.752, 0.898, 0.388, 2.028, 1.081]]
[ "./3D-spatial/threeD_Object_Detection/threeD_Object_Detection_1_0.jpg", "./3D-spatial/threeD_Object_Detection/threeD_Object_Detection_1_1.png" ]
A