Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Occupancy Networks: Learning 3D Reconstruction in Function Space
OctNet: Learning Deep 3D Representations at High Resolutions
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues
3D building model reconstruction from point clouds and ground plans
Shape-based recognition of 3D point clouds in urban environments
A Method for Interactive 3D Reconstruction of Piecewise Planar Objects from Single Images
Laplacian Meshes for Monocular 3D Shape Recovery
FPNN: Field Probing Neural Networks for 3D Data
Discrete optimization of ray potentials for semantic 3D reconstruction
Real-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion
Dense 3D semantic mapping of indoor scenes from RGB-D images
Dense scene reconstruction with points of interest
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors
An Adaptable, Probabilistic, Next-Best View Algorithm for Reconstruction of Unknown 3-D Objects
Visual Object Networks: Image Generation with Disentangled 3D Representation
Aerial 3D reconstruction with line-constrained dynamic programming
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Acquiring 3D indoor environments with variability and repetition
A flexible approach to 3D reconstruction from single images
Real-time 3D scene layout from a single image using Convolutional Neural Networks
Promoting Cooperation by the Social Incentive Mechanism in Mobile Crowdsensing
Semantics and Complexity of SPARQL
Generative Adversarial Nets
Imaging α4β2 Nicotinic Acetylcholine Receptors (nAChRs) in Baboons with [18F]XTRA, a Radioligand with Improved Specific Binding in Extra-Thalamic Regions
Comparative analysis of the gonial angle on lateral cephalometric radiographs and panoramic radiographs