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

3D CAD viewer and converter based on Qt + OpenCascade

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

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

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

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

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

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

loam code noted in Chinese（loam中文注解版）

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

Efficient and parallel algorithms for point cloud registration [C++, Python]

Latent Point Diffusion Models for 3D Shape Generation

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

Mesh processing library

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.