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"☆138Updated last year
- ☆106Updated 2 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆235Updated 3 years ago
- Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)☆97Updated 4 years ago
- MeshWalker implementation☆54Updated 4 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆84Updated 3 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆100Updated 5 years ago
- ☆52Updated 3 years ago
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆63Updated 5 months ago
- PyTorch implementation for paper Neural Marching Cubes.☆168Updated last year
- Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion☆74Updated last year
- ☆48Updated 4 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆134Updated last year
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 4 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆89Updated 5 months ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆142Updated 2 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆113Updated 3 years 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
- Marching cubes with and without color interpolation, and edge subsampling.☆186Updated 2 years ago
- Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"☆145Updated 2 years ago
- ☆39Updated 4 years ago
- Generate watertight meshes and sdf grids from degenerate, non-manifold meshes☆103Updated 2 years ago
- prototype code for neural subdivision☆126Updated 2 years ago
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆98Updated 3 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated last year
- ☆51Updated 5 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆55Updated 2 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated 4 years ago
- Learnable Deformations Among 3D Shapes.☆65Updated 4 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago