Open3D: A Modern Library for 3D Data Processing

Point Cloud Library (PCL)

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

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

Web labeling tool for bitmap images and point clouds

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data

3D CAD viewer and converter based on Qt + OpenCascade

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

loam code noted in Chinese（loam中文注解版）

Photogrammetry Guide. Learn all about the process of obtaining measurements and 3D models from photos. Creating topographic maps, meshes, or point clouds based on the real-world.

LiDAR SLAM: Scan Context + LeGO-LOAM

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io

🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

[CVPR 2020 Oral] A differentiable framework for 3D registration

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.