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Models/Cas-MVSNet

Cas-MVSNet

Reported on 8 benchmarks across 3 tasks · 1 paper

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

Methodology6 results

3D ReconstructiononDTU
Acc· 2019-12-13
0.325
best: 0.427 (PatchmatchNet)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378
3D ReconstructiononDTU
Comp· 2019-12-13
0.385
best: 0.884 (3D-R2N2)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378
3D ReconstructiononDTU
Overall· 2019-12-13
0.355
best: 0.63 (3D-R2N2)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378
3DonDTU
Acc· 2019-12-13
0.325
best: 0.427 (PatchmatchNet)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378
3DonDTU
Comp· 2019-12-13
0.385
best: 0.884 (3D-R2N2)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378
3DonDTU
Overall· 2019-12-13
0.355
best: 0.63 (3D-R2N2)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378

Computer Vision2 results

Point CloudsonTanks and Temples
Mean F1 (Advanced)· 2019-12-13
31.12
best: 41.7 (MVSFormer++)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378
Point CloudsonTanks and Temples
Mean F1 (Intermediate)· 2019-12-13
56.84
best: 67.03 (MVSFormer++)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching arXiv:1912.06378