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SotA/Computer Vision/Point Cloud Registration/3DLoMatch (10-30% overlap)

Point Cloud Registration on 3DLoMatch (10-30% overlap)

Metric: Recall ( correspondence RMSE below 0.2) (lower is better)

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#Model↕Recall ( correspondence RMSE below 0.2)▲Extra DataPaperDate↕Code
1OMNet (reported in REGTR)8.4NoOMNet: Learning Overlapping Mask for Partial-to-...2021-03-01Code
2Predator-NR24NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
33DSN (reported in PREDATOR)33NoThe Perfect Match: 3D Point Cloud Matching with ...2018-11-16Code
4D3Feat (reported in PREDATOR)37.2NoD3Feat: Joint Learning of Dense Detection and De...2020-03-06Code
5FCGF (reported in PREDATOR)40.1No--Code
6DGR (reported in REGTR)48.7NoDeep Global Registration2020-04-24Code
7PCAM (reported in REGTR)54.9NoPCAM: Product of Cross-Attention Matrices for Ri...2021-10-04Code
8Predator-5k59.8NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
9Predator-1k62.5NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
10REGTR64.8NoREGTR: End-to-end Point Cloud Correspondences wi...2022-03-28Code
11NgeNet71.9NoLeveraging Inlier Correspondences Proportion for...2022-01-28Code
12GeoTransformer - P2PNet74NoGeometric Transformer for Fast and Robust Point ...2022-02-14Code
13CoFF81.6NoCross-modal feature fusion for robust point clou...2025-05-19Code