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SOTA
Point Cloud Registration
Point Cloud Registration On Kitti
Point Cloud Registration On Kitti
Metrics
Success Rate
Results
Performance results of various models on this benchmark
Columns
Model Name
Success Rate
Paper Title
GeDi
99.82
Learning general and distinctive 3D local deep descriptors for point cloud registration
D3Feat-pred
99.81
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
SpinNet
99.10
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
DIP
97.30
Distinctive 3D local deep descriptors
FCGF
96.57
Fully Convolutional Geometric Features
3DFeat-Net
95.97
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
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Point Cloud Registration On Kitti | SOTA | HyperAI