LMVD

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Point Cloud Registrationon3DMatch Benchmark
Feature Matching Recall· 2020-03-12
97.5
best: 98.6 (IMFNet)
SOTA
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds arXiv:2003.05855
3D Point Cloud Interpolationon3DMatch Benchmark
Feature Matching Recall· 2020-03-12
97.5
best: 98.6 (IMFNet)
SOTA
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds arXiv:2003.05855
Point Cloud RegistrationonETH (trained on 3DMatch)
Feature Matching Recall· 2020-03-12
0.616
best: 0.982 (GeDi)
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds arXiv:2003.05855
3D Point Cloud InterpolationonETH (trained on 3DMatch)
Feature Matching Recall· 2020-03-12
0.616
best: 0.982 (GeDi)
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds arXiv:2003.05855