OpenCodePapers
point-cloud-registration-on-3dmatch-at-least-30-overlapped-sample-5k-interest-points
Point Cloud Analysis
Point Cloud Registration
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Paper
Code
Recall ( correspondence RMSE below 0.2)
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ModelName
ReleaseDate
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Leveraging Inlier Correspondences Proportion for Point Cloud Registration
✓ Link
92.9
NgeNet
2022-01-28
REGTR: End-to-end Point Cloud Correspondences with Transformers
✓ Link
92
REGTR
2022-03-28
PREDATOR: Registration of 3D Point Clouds with Low Overlap
✓ Link
90.5
Predator-1k
2020-11-25
PREDATOR: Registration of 3D Point Clouds with Low Overlap
✓ Link
89
Predator-5k
2020-11-25
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
✓ Link
85.5
PCAM (reported in REGTR)
2021-10-04
Deep Global Registration
✓ Link
85.3
DGR (reported in REGTR)
2020-04-24
Fully Convolutional Geometric Features
✓ Link
85.1
FCGF (reported in PREDATOR)
2019-10-27
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
✓ Link
81.6
D3Feat (reported in PREDATOR)
2020-03-06
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
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78.4
3DSN (reported in PREDATOR)
2018-11-16
PREDATOR: Registration of 3D Point Clouds with Low Overlap
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62.7
Predator-NR
2020-11-25
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration
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35.9
OMNet (reported in REGTR)
2021-03-01
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