Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: 3D Volumetric Modeling with Introspective Neural Networks
Introspective Neural Networks for Generative Modeling
OctNet: Learning Deep 3D Representations at High Resolutions
structure - aware generative network for 3d - shape modeling .
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
Multi-scale CNNs for 3D model retrieval
InterpNET: Neural Introspection for Interpretable Deep Learning
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image
View-volume Network for Semantic Scene Completion from a Single Depth Image
Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds
Sparse 3D convolutional neural networks
Sculpting: an interactive volumetric modeling technique
SemanticFusion: Dense 3D semantic mapping with convolutional neural networks
Detailed 3D Representations for Object Recognition and Modeling
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
BodyNet: Volumetric Inference of 3D Human Body Shapes
Volumetric spatial transformer network for object recognition
O-CNN: octree-based convolutional neural networks for 3D shape analysis
Using Life Cycle Information in Process Discovery
Analysis of the structure of complex networks at different resolution levels
Effects of Myofascial Release After High-Intensity Exercise: A Randomized Clinical Trial
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Intelligent Maze Solving Robot Based on Image Processing and Graph Theory Algorithms