There are 143 repositories under point-cloud topic.
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 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.
open 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
User-friendly, commercial-grade software for processing aerial imagery. ✈️
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Papers and Datasets about Point Cloud.
Pytorch framework for doing deep learning on point clouds.
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
3D LIDAR-based Graph SLAM
Deep Hough Voting for 3D Object Detection in Point Clouds
PyTorch implementation of Pointnet2/Pointnet++
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Frustum PointNets for 3D Object Detection from RGB-D Data
A lightweight, easy-to-use, and efficient library for processing and rendering 3D data (C++ & Python)
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.