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

image registration related books, papers, videos, and toolboxes

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

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples

A list of papers about point clouds registration

Fast and robust global registration for terrestrial robots @ ICRA2022

OpenGR: A C++ library for 3D Global Registration

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

Bayesian Coherent Point Drift / Domain Elastic Transform

graph-theoretic framework for robust pairwise data association

[ICCV-2025] TurboReg: TurboClique for Robust and Efficient Point Cloud Registration

[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting

DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration

PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)

K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching (RA-L 2022)

[NeurIPS 2025, Spotlight] Rectified Point Flow: Generic Point Cloud Pose Estimation

Certifiable Outlier-Robust Geometric Perception

[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

Configurable point cloud registration pipeline.