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.

3D CAD viewer and converter based on Qt + OpenCascade

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

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

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

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

loam code noted in Chinese（loam中文注解版）

😎 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

Full-python LiDAR SLAM using ICP and Scan Context

Mesh processing library

Pointcloud-based graph SLAM written in C++ using open3D library.

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

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.