MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views
Depth Map Decomposition for Monocular Depth Estimation
Monitored Distillation for Positive Congruent Depth Completion
Resolution-Free Point Cloud Sampling Network with Data Distillation
Organic Priors in Non-rigid Structure from Motion
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks
CHORE: Contact, Human and Object REconstruction from a Single RGB Image
Learned Vertex Descent: A New Direction for 3D Human Model Fitting
Self-Calibrating Photometric Stereo by Neural Inverse Rendering
3D Clothed Human Reconstruction in the Wild
Directed Ray Distance Functions for 3D Scene Reconstruction
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation from Monocular RGB Image
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
3D Siamese Transformer Network for Single Object Tracking on Point Clouds
Object Wake-Up: 3D Object Rigging from a Single Image
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction
Realistic One-Shot Mesh-Based Head Avatars
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
DeepShadow: Neural Shape from Shadow
Camera Auto-Calibration from the Steiner Conic of the Fundamental Matrix
Super-Resolution 3D Human Shape from a Single Low-Resolution Image
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement
Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation
SUPR: A Sparse Unified Part-Based Human Representation
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
Masked Autoencoders for Point Cloud Self-Supervised Learning
Intrinsic Neural Fields: Learning Functions on Manifolds
Skeleton-Free Pose Transfer for Stylized 3D Characters
Masked Discrimination for Self-Supervised Learning on Point Clouds
FBNet: Feedback Network for Point Cloud Completion
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds.-A Level Set Theory for Neural Implicit Evolution under Explicit Flows
Efficient Point Cloud Analysis Using Hilbert Curve.