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Models/CDS-MVSNet

CDS-MVSNet

Reported on 7 benchmarks across 3 tasks · 1 paper · 1 SOTA

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

Methodology6 results

3D ReconstructiononDTU
Acc· 2021-12-11
0.351
best: 0.427 (PatchmatchNet)
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999
3D ReconstructiononDTU
Comp· 2021-12-11
0.278
best: 0.884 (3D-R2N2)
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999
3D ReconstructiononDTU
Overall· 2021-12-11
0.315
best: 0.63 (3D-R2N2)
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999
3DonDTU
Acc· 2021-12-11
0.351
best: 0.427 (PatchmatchNet)
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999
3DonDTU
Comp· 2021-12-11
0.278
best: 0.884 (3D-R2N2)
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999
3DonDTU
Overall· 2021-12-11
0.315
best: 0.63 (3D-R2N2)
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999

Computer Vision1 result

Point CloudsonTanks and Temples
Mean F1 (Intermediate)· 2021-12-11
61.58
best: 67.03 (MVSFormer++)
SOTA
Curvature-guided dynamic scale networks for Multi-view Stereo arXiv:2112.05999