DominikPenk / mesh-signaturesLinks
A small project implementing different per-vertex mesh signatures.
☆41Updated last year
Alternatives and similar repositories for mesh-signatures
Users that are interested in mesh-signatures are comparing it to the libraries listed below
Sorting:
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆85Updated 4 years ago
- Python implementation of Functional Maps☆133Updated 3 weeks ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆59Updated 3 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆90Updated 2 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)☆42Updated 3 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 9 months ago
- ☆43Updated 3 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆52Updated 5 years ago
- Simple dependency free Python library for the Heat Kernel Signature on triangle meshes☆34Updated 5 years ago
- MeshWalker implementation☆55Updated 4 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆55Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆88Updated 4 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated last year
- Multi Directional Geodesic Convolutional Neural Networks☆36Updated 5 years ago
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆64Updated 9 months ago
- CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching☆21Updated 7 months ago
- Implementation of Complex Functional Maps☆18Updated 2 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆203Updated 2 years ago
- Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.☆30Updated 4 years ago
- ☆39Updated 4 years ago
- Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]☆28Updated 3 years ago
- Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.☆19Updated 4 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆139Updated last year
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆146Updated 2 years ago
- Plot 3D triangle meshes☆152Updated last year
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆104Updated 5 years ago
- ☆106Updated 3 years ago
- ☆82Updated 4 years ago