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Models/MVSFormer

MVSFormer

Reported on 8 benchmarks across 3 tasks · 1 paper · 2 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· 2022-08-04
    0.327
    best: 0.427 (PatchmatchNet)
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541
  • 3D ReconstructiononDTU
    Comp· 2022-08-04
    0.251
    best: 0.884 (3D-R2N2)
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541
  • 3D ReconstructiononDTU
    Overall· 2022-08-04
    0.289
    best: 0.63 (3D-R2N2)
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541
  • 3DonDTU
    Acc· 2022-08-04
    0.327
    best: 0.427 (PatchmatchNet)
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541
  • 3DonDTU
    Comp· 2022-08-04
    0.251
    best: 0.884 (3D-R2N2)
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541
  • 3DonDTU
    Overall· 2022-08-04
    0.289
    best: 0.63 (3D-R2N2)
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541

Computer Vision2 results

  • Point CloudsonTanks and Temples
    Mean F1 (Advanced)· 2022-08-04
    40.87
    best: 41.7 (MVSFormer++)
    SOTA
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541
  • Point CloudsonTanks and Temples
    Mean F1 (Intermediate)· 2022-08-04
    66.37
    best: 67.03 (MVSFormer++)
    SOTA
    MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DeptharXiv:2208.02541