nv-tlabs / DefTetLinks
Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
☆180Updated last year
Alternatives and similar repositories for DefTet
Users that are interested in DefTet are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for paper Neural Marching Cubes.☆168Updated last year
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆284Updated 5 years ago
- PyTorch 1.2 implementation of BSP-NET.☆187Updated 3 years ago
- Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations☆142Updated last year
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆239Updated 3 years ago
- Python tool for obtaining watertight meshes using TSDF fusion.☆233Updated last year
- Marching cubes with and without color interpolation, and edge subsampling.☆187Updated 3 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆222Updated 4 years ago
- Marching cubes implementation for PyTorch environment.☆219Updated 8 months ago
- Implicit Geometric Regularization for Learning Shapes☆427Updated 3 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated last month
- [ICCV 2021] A dataset of non-rigidly deforming objects.☆342Updated 2 years ago
- Neural Unsigned Distance Fields (NDF) - Codebase☆199Updated 3 years ago
- PyTorch implementation of Neural Dual Contouring.☆253Updated 3 years ago
- Fast and Differentiable Meshing of Unsigned Distance Field Networks☆147Updated 3 months ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 4 years ago
- implicit displacement field☆126Updated 3 years ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆167Updated 4 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- 3D Shape Representation with Local Deep Implicit Functions.☆320Updated last year
- code for "Neural Cages for Detail-Preserving 3D Deformations"☆179Updated 5 years ago
- Code for 'DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation'☆85Updated 2 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆203Updated last year
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆128Updated 3 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- ☆40Updated last year
- Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.☆84Updated 6 years ago
- prototype code for neural subdivision☆130Updated 2 years ago
- ☆106Updated 3 years ago
- ☆88Updated 2 years ago