#Geometry-processing
Showing 12 of 12 repositories tagged #geometry-processing, ranked by stars
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A lightweight, easy-to-use, and efficient library for processing and rendering 3D data (C++ & Python)
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
A learned sampling approach for point clouds (CVPR 2019)
Geometry processing library in pure rust
Geometry processing utilities compatible with jax for autodifferentiation.
Python bindings for the "Procedural Runtime" (PRT) of CityEngine by Esri.
A Computational Geometry Debugging Tool
A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.