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Models/UNET++

UNET++

Reported on 12 benchmarks across 4 tasks

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

Computer Vision6 results

  • Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    MS-SSIM
    0.976
  • Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    PSNR
    30.465
    best: 30.824 (HiFaceGAN)
  • Image Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    SSIM
    0.859
  • 3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    MS-SSIM
    0.976
  • 3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    PSNR
    30.465
    best: 30.824 (HiFaceGAN)
  • 3D Object Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    SSIM
    0.859

Graphs3 results

  • Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    MS-SSIM
    0.976
  • Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    PSNR
    30.465
    best: 30.824 (HiFaceGAN)
  • Super-ResolutiononFFHQ 512 x 512 - 4x upscaling
    SSIM
    0.859

Methodology3 results

  • 16konFFHQ 512 x 512 - 4x upscaling
    MS-SSIM
    0.976
  • 16konFFHQ 512 x 512 - 4x upscaling
    PSNR
    30.465
    best: 30.824 (HiFaceGAN)
  • 16konFFHQ 512 x 512 - 4x upscaling
    SSIM
    0.859