OpenCodePapers
point-cloud-registration-on-kitti-trained-on
3D Point Cloud Interpolation
Point Cloud Registration
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Paper
Code
Success Rate
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ModelName
ReleaseDate
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Learning general and distinctive 3D local deep descriptors for point cloud registration
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98.92
GeDi
2021-05-21
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
97.66
FCGF+SC2-PCR
2022-01-01
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
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96.76
FCGF+PointDSC
2021-03-09
Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
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94.95
Exhaustive Grid Search
2024-03-23
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
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94.05
FPFH+PointDSC
2021-03-09
Distinctive 3D local deep descriptors
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93.51
DIP
2020-09-01
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration
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90.27
Greedy Grid Search
2022-11-29
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
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82.16
YOHO-C
2021-09-01
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
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81.44
SpinNet
2020-11-24
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
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81.44
YOHO-O
2021-09-01
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
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67.93
GeoTransformer
2023-07-25
PREDATOR: Registration of 3D Point Clouds with Low Overlap
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41.20
Predator
2020-11-25
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
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36.76
D3Feat-pred
2020-03-06
Fully Convolutional Geometric Features
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24.19
FCGF
2019-10-27