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Models/PatchmatchNet

PatchmatchNet

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· 2020-12-02
    0.427
    SOTA
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411
  • 3DonDTU
    Acc· 2020-12-02
    0.427
    SOTA
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411
  • 3D ReconstructiononDTU
    Comp· 2020-12-02
    0.277
    best: 0.884 (3D-R2N2)
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411
  • 3D ReconstructiononDTU
    Overall· 2020-12-02
    0.352
    best: 0.63 (3D-R2N2)
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411
  • 3DonDTU
    Comp· 2020-12-02
    0.277
    best: 0.884 (3D-R2N2)
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411
  • 3DonDTU
    Overall· 2020-12-02
    0.352
    best: 0.63 (3D-R2N2)
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411

Computer Vision2 results

  • Point CloudsonTanks and Temples
    Mean F1 (Advanced)· 2020-12-02
    32.31
    best: 41.7 (MVSFormer++)
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411
  • Point CloudsonTanks and Temples
    Mean F1 (Intermediate)· 2020-12-02
    53.15
    best: 67.03 (MVSFormer++)
    PatchmatchNet: Learned Multi-View Patchmatch StereoarXiv:2012.01411