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30 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
CloudCompare main repository
Point Cloud Library (PCL)
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.
The public CGAL repository, see the README below
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
OpenMMLab's next-generation platform for general 3D object detection.
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
A curated list of awesome links and software libraries that are useful for robots.
A resource repository for 3D machine learning
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A collection of GICP-based fast point cloud registration algorithms
3D LIDAR-based Graph SLAM
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Multi-threaded and SSE friendly NDT algorithm
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
World's first general purpose 3D object detection codebse.
Point cloud importer & renderer for Unity
Robotics with GPU computing
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
C++ (with python bindings) library for easily reading/writing/manipulating common animation particle formats such as PDB, BGEO, PTC. https://wdas.github.io/partio
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
A lean C++ library for working with point cloud data
Interactive Map Correction for 3D Graph SLAM
A list of resources about deep learning solutions on 3D shape processing
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
A graphical user interface to annotate point clouds and 3D data.
Deep Hough Voting for 3D Object Detection in Point Clouds
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.