nmwsharp / learned-triangulationLinks
Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
☆114Updated 4 years ago
Alternatives and similar repositories for learned-triangulation
Users that are interested in learned-triangulation are comparing it to the libraries listed below
Sorting:
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆139Updated last year
- ☆106Updated 3 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆104Updated 5 years ago
- Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)☆99Updated 5 years ago
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆64Updated 9 months ago
- A reimplementation of Hanocka et al.'s paper Point2Mesh: A Self-Prior for Deformable Meshes for CSCI 1470: Deep Learning at Brown Univers…☆39Updated 4 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆137Updated 2 years ago
- MeshWalker implementation☆55Updated 4 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆85Updated 4 years ago
- ☆48Updated 4 years ago
- ☆53Updated 4 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆241Updated 3 years ago
- Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"☆146Updated 2 years ago
- ☆52Updated 5 years ago
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆36Updated 5 years ago
- Marching cubes with and without color interpolation, and edge subsampling.☆188Updated 3 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆172Updated 2 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 10 months ago
- Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion☆77Updated last year
- A working copy of the code from "A Benchmark for Surface Reconstruction" by Berger et. Al☆53Updated last year
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆52Updated 5 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated 2 years ago
- Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)☆42Updated 3 years ago
- ☆39Updated 4 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- prototype code for neural subdivision☆133Updated 2 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆114Updated 3 years ago
- Python tool for obtaining watertight meshes using TSDF fusion.☆235Updated last year
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆88Updated 4 years ago