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Models/GC-MVSNet

GC-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· 2023-10-30
0.33
best: 0.427 (PatchmatchNet)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583
3D ReconstructiononDTU
Comp· 2023-10-30
0.26
best: 0.884 (3D-R2N2)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583
3D ReconstructiononDTU
Overall· 2023-10-30
0.295
best: 0.63 (3D-R2N2)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583
3DonDTU
Acc· 2023-10-30
0.33
best: 0.427 (PatchmatchNet)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583
3DonDTU
Comp· 2023-10-30
0.26
best: 0.884 (3D-R2N2)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583
3DonDTU
Overall· 2023-10-30
0.295
best: 0.63 (3D-R2N2)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583

Computer Vision2 results

Point CloudsonTanks and Temples
Mean F1 (Advanced)· 2023-10-30
38.74
best: 41.7 (MVSFormer++)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583
Point CloudsonTanks and Temples
Mean F1 (Intermediate)· 2023-10-30
62.74
best: 67.03 (MVSFormer++)
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo arXiv:2310.19583