dongliangcao / Unsupervised-Deep-Multi-Shape-MatchingLinks
ECCV22: Unsupervised Deep Multi-Shape Matching
β21Updated 2 years ago
Alternatives and similar repositories for Unsupervised-Deep-Multi-Shape-Matching
Users that are interested in Unsupervised-Deep-Multi-Shape-Matching are comparing it to the libraries listed below
Sorting:
- CVPR23 (Highlight): Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matchingβ40Updated last year
- π·οΈ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistencyβ89Updated 7 months ago
- [CVPR 2023 Highlight] Frequency-Modulated Point Cloud Rendering with Easy Editing.β54Updated last year
- Dynamic Point Fields: Towards Efficient and Scalable Dynamic Surface Representations (ICCV 2023)β82Updated last year
- β24Updated 3 weeks ago
- Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".β23Updated 2 years ago
- CVPR24: Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolationβ15Updated 11 months ago
- β62Updated last year
- 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, ECCV 2022β17Updated 2 years ago
- β20Updated last year
- πRangeUDF: Semantic Surface Reconstruction from 3D Point Cloudsβ49Updated last year
- β23Updated 7 months ago
- Render COLMAP reconstructed Model with Pytorch3Dβ41Updated last year
- Official PyTorch implementation of ICCV 2023 paper: E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Deteβ¦β22Updated last year
- [SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstructionβ98Updated 2 years ago
- Coordinates are not lonely - Codebook Prior Helps Implicit Neural 3D Representationsβ53Updated 2 years ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)β57Updated 2 years ago
- β14Updated 11 months ago
- β14Updated 3 years ago
- [ECCV 2022] Official code release of Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantificationβ39Updated last year
- A PyTorch implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"β55Updated 2 years ago
- Official implementation of paper "Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes"β14Updated 4 years ago
- β33Updated last year
- A collection of object-compositional modeling by implicit neural representation.β58Updated last year
- NEAT: Distilling 3D Wireframes from Neural Attraction Fields (CVPR 2024)β67Updated last year
- [ACM MM 2024] GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformerβ26Updated 7 months ago
- [ICCV 2023] This is the official implementation of our paper "MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Viβ¦β69Updated last year
- FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models, ICCV 2023β12Updated 11 months ago
- β54Updated 3 years ago
- NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction (CVPR 2023)β92Updated last year