nmwsharp / neural-implicit-queriesLinks
Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implementation.
☆180Updated 3 years ago
Alternatives and similar repositories for neural-implicit-queries
Users that are interested in neural-implicit-queries are comparing it to the libraries listed below
Sorting:
- ☆106Updated 3 years ago
- Efficient Eikonal equation solver using CUDA☆101Updated last month
- ☆88Updated last year
- PyTorch implementation for paper Neural Marching Cubes.☆171Updated 2 years ago
- Marching cubes with and without color interpolation, and edge subsampling.☆188Updated 3 years ago
- ☆49Updated 11 months ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆59Updated 3 years ago
- ☆35Updated 4 years ago
- PyTorch implementation of Neural Dual Contouring.☆262Updated 3 years ago
- Path-space differentiable renderer☆163Updated 2 years ago
- Generate watertight meshes and sdf grids from degenerate, non-manifold meshes☆106Updated 2 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆203Updated 2 years ago
- Blazingly fast encoding for neural networks based on permutohedral lattices☆104Updated 2 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated 2 years ago
- ReLU Fields The Little Non-linearity That Could☆114Updated last year
- Differentiable Rendering Toolkit☆107Updated this week
- ☆40Updated last year
- SIGGRAPH Asia 2020: Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects☆75Updated 5 years ago
- Neural Surface Maps☆67Updated last year
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.