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Models/SPADE + FFL

SPADE + FFL

Reported on 6 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.

Computer Vision2 results

  • Image-to-Image TranslationonCityscapes Labels-to-Photo
    FID· 2020-12-23
    59.5
    best: 38.2 (DP-SIMS (ConvNext-L))
    Focal Frequency Loss for Image Reconstruction and SynthesisarXiv:2012.12821
  • Image-to-Image TranslationonCityscapes Labels-to-Photo
    mIoU· 2020-12-23
    64.2
    best: 76.3 (DP-SIMS (ConvNext-L))
    Focal Frequency Loss for Image Reconstruction and SynthesisarXiv:2012.12821

Medical2 results

  • Image GenerationonCityscapes Labels-to-Photo
    FID· 2020-12-23
    59.5
    best: 38.2 (DP-SIMS (ConvNext-L))
    Focal Frequency Loss for Image Reconstruction and SynthesisarXiv:2012.12821
  • Image GenerationonCityscapes Labels-to-Photo
    mIoU· 2020-12-23
    64.2
    best: 76.3 (DP-SIMS (ConvNext-L))
    Focal Frequency Loss for Image Reconstruction and SynthesisarXiv:2012.12821

Miscellaneous2 results

  • 1 Image, 2*2 StitchingonCityscapes Labels-to-Photo
    FID· 2020-12-23
    59.5
    best: 38.2 (DP-SIMS (ConvNext-L))
    Focal Frequency Loss for Image Reconstruction and SynthesisarXiv:2012.12821
  • 1 Image, 2*2 StitchingonCityscapes Labels-to-Photo
    mIoU· 2020-12-23
    64.2
    best: 76.3 (DP-SIMS (ConvNext-L))
    Focal Frequency Loss for Image Reconstruction and SynthesisarXiv:2012.12821