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

A fast and robust point cloud registration library

Efficient Global Point-cloud registration

[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications

R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method

GPU-based 3D non-rigid volumetric registration

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation

[MVA 24] Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark

[BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline

3D Rigid Registration monorepo

[BMVC 2022 workshop] 3D registration benchmark dataset FAUST-partial

TEASER++ is a fast and certifiably-robust point cloud registration library

C++ implementation of joint skeleton-surfaceShape EM-ICP

Simple demo of Horn's Method for rigid registration of 3D point clouds.

A tool to build pipeline which use 3DSmoothNet to generate corresponds which will be used by TEASER-plusplus to estimate alignment.

Config files for my GitHub profile.

Script associated with Blanc et al., 2025. 3D Rigid Alignment with Deep Learning (RAD) software, Calcium imaging analysis and 3D image processing