nmwsharp / diffusion-netLinks
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
☆455Updated 2 years ago
Alternatives and similar repositories for diffusion-net
Users that are interested in diffusion-net are comparing it to the libraries listed below
Sorting:
- Implicit Geometric Regularization for Learning Shapes☆422Updated 3 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆618Updated 3 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆235Updated 3 years ago
- Python implementation of Functional Maps☆124Updated 4 months ago
- Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].☆239Updated 7 months ago
- PyTorch 1.2 implementation of IM-NET.☆204Updated 3 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated last year
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆143Updated last year
- 3D Shape Representation with Local Deep Implicit Functions.☆320Updated last year
- Implementation of the Chamfer Distance as a module for PyTorch☆175Updated 2 years ago
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆333Updated last year
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆203Updated last year
- An invigorating blend of 3D geometry tools in Python.☆498Updated last week
- Learning Gradient Fields for Shape Generation☆196Updated 4 years ago
- Subdivision-based Mesh Convolutional Networks.☆277Updated 8 months ago
- Learning Implicit Surfaces from Point Clouds (ECCV 2020)☆491Updated 5 months ago
- ☆245Updated 2 years ago
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆284Updated 5 years ago
- Chamfer Distance in Pytorch with f-score☆361Updated 4 years ago
- Implicit Feature Network (IF-Net) - Codebase☆318Updated last year
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Official repository for the ShapeFormer Project☆203Updated 8 months ago
- libigl python bindings☆348Updated last week
- Marching cubes implementation for PyTorch environment.☆217Updated 6 months ago
- some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!☆315Updated last year
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆142Updated 4 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆134Updated last year
- Python tool for obtaining watertight meshes using TSDF fusion.☆232Updated last year
- PyTorch implementation for paper Neural Marching Cubes.☆168Updated last year
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated 4 years ago