pointcloud

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.

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

Web labeling tool for bitmap images and point clouds

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

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）

3D CAD viewer and converter based on Qt + OpenCascade

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

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb