OpenCodePapers
point-cloud-registration-on-3dmatch-benchmark
3D Point Cloud Interpolation
Point Cloud Registration
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Paper
Code
Feature Matching Recall
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ModelName
ReleaseDate
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IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
✓ Link
98.6
IMFNet
2021-11-18
3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning
✓ Link
98.4
MS-SVConv
2021-03-26
Learning general and distinctive 3D local deep descriptors for point cloud registration
✓ Link
97.9
GeDi (no code published as of May 27 2021)
2021-05-21
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
✓ Link
97.6
SpinNet (no code published as of Dec 15 2020)
2020-11-24
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
✓ Link
97.5
LMVD
2020-03-12
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
✓ Link
96.8
DIP + Point-TnT
2022-04-08
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
✓ Link
95.8
D3Feat-Pred
2020-03-06
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
✓ Link
95.3
D3Feat-rand
2020-03-06
Distinctive 3D local deep descriptors
✓ Link
94.8
DIP
2020-09-01
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
✓ Link
94.7
3DSmoothNet
2018-11-16
Fully Convolutional Geometric Features
✓ Link
85
FCGF + RANSAC
2019-10-27
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
✓ Link
71.8
PPF-FoldNet
2018-08-30
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
✓ Link
66.8
3DMatch + RANSAC
2016-03-27
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
✓ Link
62.3
PPFNet
2018-02-07
Fast Point Feature Histograms (FPFH) for 3D Registration
✓ Link
44.2
FPFH + RANSAC
2009-05-12