Point Cloud Library (PCL)

A resource repository for 3D machine learning

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

OpenMMLab's next-generation platform for general 3D object detection.

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

The public CGAL repository, see the README below

The open source mesh processing system

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

CloudCompare main repository

User-friendly, commercial-grade software for processing aerial imagery. ✈️ Download it for free!

open Structure-fom-Motion and Multi-View Stereo reconstruction library

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia (ICML'26), Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

Papers and Datasets about Point Cloud.

Pytorch framework for doing deep learning on point clouds.

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎