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geometry
Simple MPL-2.0-licensed C++ geometry processing library.
Convex Polyhedral Meshing for Robust Solid Modeling
A generic programming header only C++ library for processing polygonal and polyhedral meshes
This is the header-only version of the code we used for the experiments in the paper "Fast and Robust Mesh Arrangements using Floating-point Arithmetic" by G. Cherchi, M. Livesu, R. Scateni and M. …
Source code for our Computer Graphics Forum paper: Synthesizing Geologically Coherent Cave Networks
Public code release for "Swept Volumes via Spacetime Numerical Continuation", presented at SIGGRAPH 2021 and authored by Silvia Sellán, Noam Aigerman and Alec Jacobson
Implementation of the local remesher from "A Remeshing Approach to Multiresolution Modeling" by M. Botsch and L. Kobbelt, to work with the libigl geometry processing library
Public code release for the SIGGRAPH Asia 2020 paper "Opening and Closing Surfaces", authored by Silvia Sellán, Ang Yan Sheng, Jacob Kesten and Alec Jacobson
Header only, single file, simple and efficient C++11 library to compute the signed distance function (SDF) to a triangle mesh
a copy of https://members.loria.fr/BLevy/PACKAGES/Delaunay_psm_1.7.7.tar.gz
Deformation assignment for Geometry Processing course
Implementation of a robust no-fit polygon generation in a C++ library using an orbiting approach
Discrete Conformal Equivalence of Polyhedral Surfaces
A C++ & Python viewer for 3D data like meshes and point clouds
a programming library with geometric algorithms
nVidia's CUDA accelerated Spin Transformations of Discrete Surfaces, based on the original code and paper by Keenan Crane, Ulrich Pinkall, Peter Schröder: Spin transformations of discrete surfaces.…
Generates a rounded box mesh centered on the origin with configurable dimensions, corner and edge radius, and resolution.
Use edge splits to make meshes Delaunay
Guaranteed-robust intrinsic triangulations for surface mesh processing! (C++ demo app)
Implementation of "Large Steps in Inverse Rendering of Geometry"
Implementation of the paper "Surface Map Homology Inference"