nmwsharp / robust-laplacians-pyLinks
Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
☆253Updated last year
Alternatives and similar repositories for robust-laplacians-py
Users that are interested in robust-laplacians-py are comparing it to the libraries listed below
Sorting:
- Plot 3D triangle meshes☆152Updated last year
- An invigorating blend of 3D geometry tools in Python.☆548Updated 6 months ago
- A collection of utility functions to prototype geometry processing research in python☆253Updated 3 months ago
- A robust Laplace matrix for general (possibly nonmanifold) triangle meshes, and point clouds [Sharp & Crane SGP 2020]☆147Updated last year
- libigl python bindings☆358Updated last week
- Python implementation of Functional Maps☆139Updated 2 months ago
- Python implementation of surface mesh resampling algorithm ACVD☆279Updated last week
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Python bindings for Polyscope☆50Updated last week
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆484Updated 3 years ago
- A basic tutorial for geometry processing in MATLAB using gptoolbox☆48Updated last year
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆241Updated 4 years ago
- Python Wrapper for MeshFix: easily repair holes in surface meshes☆370Updated last week
- Curvature assignment for Geometry Processing course☆157Updated 2 years ago
- Fast python implementation of the quadric mesh simplification algorithm from http://mgarland.org/files/papers/quadrics.pdf☆111Updated last year
- A library of geometry processing tools for computer graphics☆112Updated last month
- Geometry processing research tutorial in python - as presented at SGP 2024.☆60Updated 6 months ago
- A small project implementing different per-vertex mesh signatures.☆42Updated last year
- We approximate the lowest part of the eigenvalues and eigenfunctions of Laplace-Beltrami operator, to have faster speed, less storage, an…☆26Updated 6 years ago
- ☆108Updated 3 years ago
- A course for getting started with geometry processing using Python, Gpytoolbox, and Polyscope☆156Updated 6 months ago
- An introductory course intrinsic triangulations for powerful & robust geometry processing --- tutorial code and links.☆141Updated 3 years ago
- Source code for serveral papers on discrete Laplace operators on general polygons and polyhedral meshes☆41Updated last year
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆66Updated 11 months ago
- geometry processing and shape analysis framework☆69Updated 9 months ago
- An easily integrable Cholesky solver on CPU and GPU☆252Updated last week
- Marching cubes with and without color interpolation, and edge subsampling.☆189Updated 3 years ago
- Codebase for "Variational Surface Cutting" by Sharp & Crane, SIGGRAPH 2018☆106Updated 4 years ago
- Fast Quadratic Mesh Simplification☆182Updated last week
- Mesh Reconstruction assignment for Geometry Processing course☆114Updated 3 years ago