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Models/AA-RMVSNet

AA-RMVSNet

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· 2021-08-09
    0.376
    best: 0.427 (PatchmatchNet)
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824
  • 3D ReconstructiononDTU
    Comp· 2021-08-09
    0.339
    best: 0.884 (3D-R2N2)
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824
  • 3D ReconstructiononDTU
    Overall· 2021-08-09
    0.357
    best: 0.63 (3D-R2N2)
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824
  • 3DonDTU
    Acc· 2021-08-09
    0.376
    best: 0.427 (PatchmatchNet)
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824
  • 3DonDTU
    Comp· 2021-08-09
    0.339
    best: 0.884 (3D-R2N2)
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824
  • 3DonDTU
    Overall· 2021-08-09
    0.357
    best: 0.63 (3D-R2N2)
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824

Computer Vision1 result

  • Point CloudsonTanks and Temples
    Mean F1 (Intermediate)· 2021-08-09
    61.51
    best: 67.03 (MVSFormer++)
    SOTA
    AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkarXiv:2108.03824