rubenwiersma / pointcloud-differentialLinks
Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features in deep learning.
☆77Updated 3 years ago
Alternatives and similar repositories for pointcloud-differential
Users that are interested in pointcloud-differential are comparing it to the libraries listed below
Sorting:
- Official Implementation of Neural Splines☆97Updated 4 years ago
- Generate watertight meshes and sdf grids from degenerate, non-manifold meshes☆106Updated 2 years ago
- Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implem…☆180Updated 3 years ago
- Efficient Eikonal equation solver using CUDA☆101Updated last month
- Parametric Gauss Reconstruction☆84Updated last year
- Winding Number Normal Consistency☆43Updated 11 months ago
- ☆49Updated 11 months ago
- Code accompanying the paper "Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction" by Christiane Sommer*, Lu Sang*,…☆75Updated 3 years ago
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆146Updated 2 years ago
- Fixed Radius Nearest Neighbor Search on GPU☆191Updated last year
- A fast and robust total curvature estimation method, for both triangle meshes and point clouds.☆33Updated 11 months ago
- ☆106Updated 3 years ago
- A robust Laplace matrix for general (possibly nonmanifold) triangle meshes, and point clouds [Sharp & Crane SGP 2020]☆145Updated last year
- ☆103Updated 5 months ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆59Updated 3 years ago
- An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks☆76Updated 3 years ago
- An easily integrable Cholesky solver on CPU and GPU☆250Updated this week
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆203Updated 2 years ago
- Implementation of the embedded deformation algorithm☆49Updated last year
- Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations☆70Updated 3 years ago
- Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.☆19Updated 4 years ago
- Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]☆28Updated 3 years ago
- SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching☆65Updated last year
- Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.☆102Updated 2 months ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆90Updated 2 years ago
- ☆27Updated last year
- Python implementation of Functional Maps☆133Updated 2 weeks ago
- Code release for "3D reconstruction with fast dipole sums"☆80Updated 10 months ago
- [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds☆77Updated 3 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆85Updated 4 years ago