3DV and Geometry
Geometry
Shape Deformation and Editing
1. DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Shape Generation
1. Learning Representations and Generative Models for 3D Point Clouds
2. PolyGen: An Autoregressive Generative Model of 3D Meshes
3. ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Single View Reconstruction
1. DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
2. Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Geometry Feature Learning
1. PointCNN
2. PointNet
3. MeshCNN: A Network with an Edge
4. UV-Net: Learning from Curve-Networks and Solids
Differentiable Renderer
1. Neural Rerendering in the Wild
2. DFR: Differentiable Function Rendering for Learning 3D Generation from Images
Shape Analysis
1. SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
2. Symmetry in 3D Geometry: Extraction and Applications
3. Discovering Structural Regularity in 3D Geometry
4. PIE-NET: Parametric Inference of Point Cloud Edges
3D Vision
Localization
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Mapping
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3D Programming
Preliminary
1. Generate a Shape from X
2. Shape Editing
3. Shape Analysis
4. Special Topics on Face, Body and Facades
Advance
3DV and Geometry
README.md
3D Vision and Geometry
This website is designed for paper sharing and discussion at the VCL lab in Peking University.
Topics
Shape Generation
Geometry Feature Learning
Single View Reconstruction
Neural 3D Renderer
Shape Analysis
2020, 3dv-geometry