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

SpatialLM: Training Large Language Models for Structured Indoor Modeling

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

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

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

My awesome point cloud labeling tool

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

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

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

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

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

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