A list of papers and datasets about point cloud analysis (processing)

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

A fast and robust point cloud registration library

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

pyntcloud is a Python library for working with 3D point clouds.

[ECCV'20] Convolutional Occupancy Networks

My awesome point cloud labeling tool

[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

A lightweight tool for labeling 3D bounding boxes in point clouds.

Papers, code and datasets about deep learning for 3D Object Detection.

Python implementation of SLAM algorithm Stereo-PTAM

Virtual Sparse Convolution for Multimodal 3D Object Detection

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

[ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"

Accurate, detailed, and automatic modelling of laser-scanned trees

Multi primitive-to-primitive (MP2P) ICP algorithms in C++