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Models/ET-MVSNet

ET-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· 2023-09-29
    0.329
    best: 0.427 (PatchmatchNet)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218
  • 3D ReconstructiononDTU
    Comp· 2023-09-29
    0.253
    best: 0.884 (3D-R2N2)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218
  • 3D ReconstructiononDTU
    Overall· 2023-09-29
    0.291
    best: 0.63 (3D-R2N2)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218
  • 3DonDTU
    Acc· 2023-09-29
    0.329
    best: 0.427 (PatchmatchNet)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218
  • 3DonDTU
    Comp· 2023-09-29
    0.253
    best: 0.884 (3D-R2N2)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218
  • 3DonDTU
    Overall· 2023-09-29
    0.291
    best: 0.63 (3D-R2N2)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218

Computer Vision2 results

  • Point CloudsonTanks and Temples
    Mean F1 (Advanced)· 2023-09-29
    40.41
    best: 41.7 (MVSFormer++)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218
  • Point CloudsonTanks and Temples
    Mean F1 (Intermediate)· 2023-09-29
    65.49
    best: 67.03 (MVSFormer++)
    When Epipolar Constraint Meets Non-local Operators in Multi-View StereoarXiv:2309.17218