Point Cloud Library (PCL)
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
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
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
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Pytorch framework for doing deep learning on point clouds.
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
image registration related books, papers, videos, and toolboxes
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
⚡️The spatial perception framework for rapidly building smart robots and spaces
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
Efficient and parallel algorithms for point cloud registration [C++, Python]
A Modular Optimization framework for Localization and mApping (MOLA)
WebGL 3D plotting for Jupyter: meshes, isosurfaces, volumes, voxels and point clouds from NumPy arrays, with a path-traced cinematic renderer.
3D BIM IFC Viewer SDK for AEC engineering applications. Open Source JavaScript Toolkit based on pure WebGL for top performance, real-world coordinates and full double precision
3D geometry processing SDK: fast mesh boolean, mesh repair, decimation, remeshing, offset, point cloud triangulation and ICP registration. C++ with Python, C#, C and JavaScript bindings.
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
Airborne LiDAR data manipulation and visualisation for forestry application
Visualization library for rapid prototyping of 3D algorithms [C++, Python]
用代码生成 15 秒动态图形成片 · Agent Skill。交付 1920×1080 / 30fps。自研渲染引擎:2× 超采样矢量/文字 + 真 3D 点云 + 丝网印四色分色 + 代码合成配乐,不用任何外部美术素材、不用 AE。15 张风格牌,已做过暗色科技 / riso 印刷 / 纸艺 / 银盐暗房 / 恒星普朗克配色 / 氰版蓝图 / 紫外光刻,成片见 docs/films/
GenZ-LIO: SOTA robust LiDAR-inertial odometry (IEEE T-FR 2026)
A real-robot ROS 2 navigation workspace for the Unitree Go2W, integrating FAST-LIO, point-cloud localization, and Nav
Runnable Python behind my 3D data science tutorials. Point clouds, LiDAR, Gaussian splatting, meshing and spatial AI.
[ECCV 2026] ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views
PathCover enables fast convex decomposition along paths directly on point clouds using Randomized Iterative Space Partitioning (RISP). Built for real-time robotic navigation, it integrates mapping, path planning, trajectory optimization, and ROS/Gazebo simulations for aerial and ground robots.