MClemot / SkeletonLearningLinks
☆12Updated last year
Alternatives and similar repositories for SkeletonLearning
Users that are interested in SkeletonLearning are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- Source code for "Symmetric Volume Maps" paper. Computes dense correspondences between tetrahedral meshes.☆14Updated 9 months ago
- ☆14Updated 11 months ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆84Updated 3 years ago
- The code for "HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies (NeurIPS 2022)"☆17Updated 2 years ago
- non-rigid registration in NIMBLE: A Non-rigid Hand Model with Bones and Muscles☆11Updated 2 years ago
- ☆14Updated 4 years ago
- Official code release for our NeurIPS 2022 paper Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching☆16Updated last year
- Official implementation of the Discrete Optimization and Smooth Discrete Optimization papers☆17Updated last year
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated last year
- ☆19Updated last year
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- NeLo: Neural Laplacian Operators on Point Clouds☆20Updated last month
- ☆9Updated 3 years ago
- ☆11Updated 2 years ago
- [CVPR 2022] Official implementation of "Φ-SfT: Shape-from-Template with a Physics-Based Deformation Model"☆34Updated 3 years ago
- An Implicit Parametric Morphable Dental Model☆65Updated 2 years ago
- A new dataset adapted from DeformThings4D for non-isometric shape matching task☆27Updated 2 years ago
- Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.☆92Updated last month
- ☆21Updated 2 years ago
- ☆36Updated last year
- ☆39Updated last year
- Interactive demo of semantic editing of 3D shapes.☆16Updated 8 months ago
- MATTopo: Topology-preserving Medial Axis Transform with Restricted Power Diagram. ACM Transactions on Graphics (SIGGRAPH Asia 2024).☆20Updated 9 months ago
- ☆20Updated last year
- This is an implementation of the CVPR'2021 paper "Learning Compositional Representation for 4D Captures with Neural ODE".☆19Updated 4 years ago
- MeshWalker implementation☆54Updated 4 years ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆55Updated last year
- Non-Rigid Shape Registration via Deep Functional Maps Prior☆20Updated last year
- MGCN: Descriptor Learning using Multiscale GCNs (SIGGRAPH 2020)☆41Updated 3 years ago