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SotA/Computer Vision/Point Cloud Registration/3DMatch Benchmark

Point Cloud Registration on 3DMatch Benchmark

Metric: Feature Matching Recall (higher is better)

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#Model↕Feature Matching Recall▼Extra DataPaperDate↕Code
1IMFNet98.6YesIMFNet: Interpretable Multimodal Fusion for Poin...2021-11-18Code
2MS-SVConv98.4No3D Point Cloud Registration with Multi-Scale Arc...2021-03-26Code
3GeDi (no code published as of May 27 2021)97.9NoLearning general and distinctive 3D local deep d...2021-05-21Code
4SpinNet (no code published as of Dec 15 2020)97.6NoSpinNet: Learning a General Surface Descriptor f...2020-11-24Code
5LMVD97.5NoEnd-to-End Learning Local Multi-view Descriptors...2020-03-12Code
6DIP + Point-TnT96.8NoPoints to Patches: Enabling the Use of Self-Atte...2022-04-08Code
7D3Feat-Pred95.8NoD3Feat: Joint Learning of Dense Detection and De...2020-03-06Code
8D3Feat-rand95.3NoD3Feat: Joint Learning of Dense Detection and De...2020-03-06Code
9DIP94.8NoDistinctive 3D local deep descriptors2020-09-01Code
103DSmoothNet94.7NoThe Perfect Match: 3D Point Cloud Matching with ...2018-11-16Code
11FCGF + RANSAC85No--Code
12PPF-FoldNet71.8NoPPF-FoldNet: Unsupervised Learning of Rotation I...2018-08-30Code
133DMatch + RANSAC66.8No3DMatch: Learning Local Geometric Descriptors fr...2016-03-27Code
14PPFNet62.3NoPPFNet: Global Context Aware Local Features for ...2018-02-07Code
15FPFH + RANSAC44.2No--Code