point-cloud

Paper reading notes on Deep Learning and Machine Learning

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

⚡️The spatial perception framework for rapidly building smart robots and spaces

Point-NeRF: Point-based Neural Radiance Fields

A lean C++ library for working with point cloud data

Robotics with GPU computing

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

[ECCV 2024 Best Paper Candidate & TPAMI 2025] PointLLM: Empowering Large Language Models to Understand Point Clouds

WebGL 3D plotting for Jupyter: meshes, isosurfaces, volumes, voxels and point clouds from NumPy arrays, with a path-traced cinematic renderer.

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction

Interactive Map Correction for 3D Graph SLAM

3D BIM IFC Viewer SDK for AEC engineering applications. Open Source JavaScript Toolkit based on pure WebGL for top performance, real-world coordinates and full double precision

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Multi-threaded and SSE friendly NDT algorithm

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

3D geometry processing SDK: fast mesh boolean, mesh repair, decimation, remeshing, offset, point cloud triangulation and ICP registration. C++ with Python, C#, C and JavaScript bindings.

Convert KITTI dataset to ROS bag file the easy way!

[TMLR 2025🔥] A survey for the autoregressive models in vision.

3DGS-to-PC: 3D Gaussian Splatting to Dense Point Clouds [3D-VAST: ICCVW 2025]

[ICCV 2025] Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning

Airborne LiDAR data manipulation and visualisation for forestry application

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

Python library for fitting 3D primitive shapes to point clouds with RANSAC. Detect planes, spheres, cylinders, cuboids, circles, and lines.

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.