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SotA/Computer Vision/3D Point Cloud Interpolation/KITTI (trained on 3DMatch)

3D Point Cloud Interpolation on KITTI (trained on 3DMatch)

Metric: Success Rate (higher is better)

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#Model↕Success Rate▼Extra DataPaperDate↕Code
1GeDi98.92NoLearning general and distinctive 3D local deep d...2021-05-21Code
2FCGF+SC2-PCR97.66No---
3FCGF+PointDSC96.76NoPointDSC: Robust Point Cloud Registration using ...2021-03-09Code
4Exhaustive Grid Search94.95No--Code
5FPFH+PointDSC94.05NoPointDSC: Robust Point Cloud Registration using ...2021-03-09Code
6DIP93.51NoDistinctive 3D local deep descriptors2020-09-01Code
7Greedy Grid Search90.27NoChallenging the Universal Representation of Deep...2022-11-29Code
8YOHO-C82.16NoYou Only Hypothesize Once: Point Cloud Registrat...2021-09-01Code
9SpinNet81.44NoSpinNet: Learning a General Surface Descriptor f...2020-11-24Code
10YOHO-O81.44NoYou Only Hypothesize Once: Point Cloud Registrat...2021-09-01Code
11GeoTransformer67.93NoGeoTransformer: Fast and Robust Point Cloud Regi...2023-07-25Code
12Predator41.2NoPREDATOR: Registration of 3D Point Clouds with L...2020-11-25Code
13D3Feat-pred36.76NoD3Feat: Joint Learning of Dense Detection and De...2020-03-06Code
14FCGF24.19No--Code