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Models/IB-MVS

IB-MVS

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· 2021-11-29
0.334
best: 0.427 (PatchmatchNet)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420
3D ReconstructiononDTU
Comp· 2021-11-29
0.309
best: 0.884 (3D-R2N2)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420
3D ReconstructiononDTU
Overall· 2021-11-29
0.321
best: 0.63 (3D-R2N2)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420
3DonDTU
Acc· 2021-11-29
0.334
best: 0.427 (PatchmatchNet)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420
3DonDTU
Comp· 2021-11-29
0.309
best: 0.884 (3D-R2N2)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420
3DonDTU
Overall· 2021-11-29
0.321
best: 0.63 (3D-R2N2)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420

Computer Vision2 results

Point CloudsonTanks and Temples
Mean F1 (Advanced)· 2021-11-29
31.96
best: 41.7 (MVSFormer++)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420
Point CloudsonTanks and Temples
Mean F1 (Intermediate)· 2021-11-29
56.02
best: 67.03 (MVSFormer++)
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions arXiv:2111.14420