Geometry

• Shape Deformation and Editing
  • DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
• Shape Generation
  • Learning Representations and Generative Models for 3D Point Clouds
  • PolyGen: An Autoregressive Generative Model of 3D Meshes
  • ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
• Single View Reconstruction
  • DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
• Geometry Feature Learning
  • PointCNN
  • PointNet
  • MeshCNN: A Network with an Edge
  • UV-Net: Learning from Curve-Networks and Solids
• Differentiable Renderer
  • Neural Rerendering in the Wild
  • DFR: Differentiable Function Rendering for Learning 3D Generation from Images
• Shape Analysis
  • SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
  • Symmetry in 3D Geometry: Extraction and Applications
  • Discovering Structural Regularity in 3D Geometry
  • PIE-NET: Parametric Inference of Point Cloud Edges