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SotA/Computer Vision/3D Point Cloud Interpolation/3DMatch (at least 30% overlapped - sample 5k interest points)

3D Point Cloud Interpolation on 3DMatch (at least 30% overlapped - sample 5k interest points)

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

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Results

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#Model↕Recall ( correspondence RMSE below 0.2)▲Extra DataPaperDate↕Code
1OMNet (reported in REGTR)35.9NoOMNet: Learning Overlapping Mask for Partial-to-...2021-03-01Code
2Predator-NR62.7NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
33DSN (reported in PREDATOR)78.4NoThe Perfect Match: 3D Point Cloud Matching with ...2018-11-16Code
4D3Feat (reported in PREDATOR)81.6NoD3Feat: Joint Learning of Dense Detection and De...2020-03-06Code
5FCGF (reported in PREDATOR)85.1No--Code
6DGR (reported in REGTR)85.3NoDeep Global Registration2020-04-24Code
7PCAM (reported in REGTR)85.5NoPCAM: Product of Cross-Attention Matrices for Ri...2021-10-04Code
8Predator-5k89NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
9Predator-1k90.5NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
10REGTR92NoREGTR: End-to-end Point Cloud Correspondences wi...2022-03-28Code
11NgeNet92.9NoLeveraging Inlier Correspondences Proportion for...2022-01-28Code