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Models/CVP-MVSNet

CVP-MVSNet

Reported on 7 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· 2019-12-18
0.296
best: 0.427 (PatchmatchNet)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329
3D ReconstructiononDTU
Comp· 2019-12-18
0.406
best: 0.884 (3D-R2N2)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329
3D ReconstructiononDTU
Overall· 2019-12-18
0.351
best: 0.63 (3D-R2N2)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329
3DonDTU
Acc· 2019-12-18
0.296
best: 0.427 (PatchmatchNet)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329
3DonDTU
Comp· 2019-12-18
0.406
best: 0.884 (3D-R2N2)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329
3DonDTU
Overall· 2019-12-18
0.351
best: 0.63 (3D-R2N2)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329

Computer Vision1 result

Point CloudsonTanks and Temples
Mean F1 (Intermediate)· 2019-12-18
54.03
best: 67.03 (MVSFormer++)
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo arXiv:1912.08329