Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
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Updated
Sep 12, 2025 - Python
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
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
[NeurIPS 2025, Spotlight] Rectified Point Flow: Generic Point Cloud Pose Estimation
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
[IEEE TGRS 2024] A novel method for registration of MLS and stereo reconstructed point clouds
[ECCV 2024] UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
Density Adaptive Point Set Registration
Robust Partial-to-Partial Point Cloud Registration in a Full Range
[CVPR2023] PEAL: Prior-embedded Explicit Attention Learning for Low-overlap Point Cloud Registration
Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".
[ECCV 2022]PCR-CG: Point Cloud Registration via Color and Geometry
register 3D point clouds using rotation, translation, and scale transformations.
[ICME 2024] VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering
Comparison of SHOT and FPFH descriptors for 3D point clouds registration
Small python implementation of point pair feature matching via Drost-PPF / PPF-Voting. Optional binary extension via nanobind for speed
Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
[ICME 2023, Oral]HybridPoint: Point cloud registration based on hybrid point sampling and matching
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