TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/DigiFace-1M

DigiFace-1M

Reported on 30 benchmarks across 6 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision10 results

  • Face ReconstructiononCPLFW
    Accuracy· 2022-10-05
    0.8223
    best: 93.37 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face ReconstructiononLFW
    Accuracy· 2022-10-05
    0.9617
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face ReconstructiononCALFW
    Accuracy· 2022-10-05
    0.8255
    best: 96.15 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face ReconstructiononAgeDB-30
    Accuracy· 2022-10-05
    0.811
    best: 71.62 (USynthFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face ReconstructiononCFP-FP
    Accuracy· 2022-10-05
    0.8981
    best: 0.9951 (PartialFC (R200))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ReconstructiononCPLFW
    Accuracy· 2022-10-05
    0.8223
    best: 93.37 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ReconstructiononLFW
    Accuracy· 2022-10-05
    0.9617
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ReconstructiononCALFW
    Accuracy· 2022-10-05
    0.8255
    best: 96.15 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ReconstructiononAgeDB-30
    Accuracy· 2022-10-05
    0.811
    best: 71.62 (USynthFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ReconstructiononCFP-FP
    Accuracy· 2022-10-05
    0.8981
    best: 0.9951 (PartialFC (R200))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579

Methodology10 results

  • Face RecognitiononCPLFW
    Accuracy· 2022-10-05
    0.8223
    best: 0.9465 (GhostFaceNetV2-1)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face RecognitiononLFW
    Accuracy· 2022-10-05
    0.9617
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face RecognitiononCALFW
    Accuracy· 2022-10-05
    0.8255
    best: 0.96233 (Prodpoly)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face RecognitiononAgeDB-30
    Accuracy· 2022-10-05
    0.811
    best: 71.62 (USynthFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Face RecognitiononCFP-FP
    Accuracy· 2022-10-05
    0.8981
    best: 0.9933 (GhostFaceNetV2-1)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3DonCPLFW
    Accuracy· 2022-10-05
    0.8223
    best: 93.37 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3DonLFW
    Accuracy· 2022-10-05
    0.9617
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3DonCALFW
    Accuracy· 2022-10-05
    0.8255
    best: 96.15 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3DonAgeDB-30
    Accuracy· 2022-10-05
    0.811
    best: 71.62 (USynthFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3DonCFP-FP
    Accuracy· 2022-10-05
    0.8981
    best: 0.9951 (PartialFC (R200))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579

Music5 results

  • Facial Recognition and ModellingonCPLFW
    Accuracy· 2022-10-05
    0.8223
    best: 93.37 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Facial Recognition and ModellingonLFW
    Accuracy· 2022-10-05
    0.9617
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Facial Recognition and ModellingonCALFW
    Accuracy· 2022-10-05
    0.8255
    best: 96.15 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Facial Recognition and ModellingonAgeDB-30
    Accuracy· 2022-10-05
    0.811
    best: 71.62 (USynthFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • Facial Recognition and ModellingonCFP-FP
    Accuracy· 2022-10-05
    0.8981
    best: 0.9951 (PartialFC (R200))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579

Medical5 results

  • 3D Face ModellingonCPLFW
    Accuracy· 2022-10-05
    0.8223
    best: 93.37 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ModellingonLFW
    Accuracy· 2022-10-05
    0.9617
    best: 0.998667 (GhostFaceNetV2-1 (MS1MV3))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ModellingonCALFW
    Accuracy· 2022-10-05
    0.8255
    best: 96.15 (DiscFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ModellingonAgeDB-30
    Accuracy· 2022-10-05
    0.811
    best: 71.62 (USynthFace)
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579
  • 3D Face ModellingonCFP-FP
    Accuracy· 2022-10-05
    0.8981
    best: 0.9951 (PartialFC (R200))
    DigiFace-1M: 1 Million Digital Face Images for Face RecognitionarXiv:2210.02579