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Models/RFB-ESRGAN

RFB-ESRGAN

Reported on 16 benchmarks across 4 tasks · 1 paper · 12 SOTA

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

Computer Vision8 results

  • Image Super-ResolutiononDIV8K val - 16x upscaling
    LPIPS· 2020-05-26
    0.345
    best: 0.321 (Ours w/o cycle-loss)
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • Image Super-ResolutiononDIV8K test - 16x upscaling
    LPIPS· 2020-05-26
    0.348
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • Image Super-ResolutiononDIV8K test - 16x upscaling
    PSNR· 2020-05-26
    23.38
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 3D Object Super-ResolutiononDIV8K val - 16x upscaling
    LPIPS· 2020-05-26
    0.345
    best: 0.321 (Ours w/o cycle-loss)
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 3D Object Super-ResolutiononDIV8K test - 16x upscaling
    LPIPS· 2020-05-26
    0.348
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 3D Object Super-ResolutiononDIV8K test - 16x upscaling
    PSNR· 2020-05-26
    23.38
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • Image Super-ResolutiononDIV8K val - 16x upscaling
    PSNR· 2020-05-26
    24.03
    best: 26.71 (ABPN)
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 3D Object Super-ResolutiononDIV8K val - 16x upscaling
    PSNR· 2020-05-26
    24.03
    best: 26.71 (ABPN)
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597

Graphs4 results

  • Super-ResolutiononDIV8K val - 16x upscaling
    LPIPS· 2020-05-26
    0.345
    best: 0.321 (Ours w/o cycle-loss)
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • Super-ResolutiononDIV8K test - 16x upscaling
    LPIPS· 2020-05-26
    0.348
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • Super-ResolutiononDIV8K test - 16x upscaling
    PSNR· 2020-05-26
    23.38
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • Super-ResolutiononDIV8K val - 16x upscaling
    PSNR· 2020-05-26
    24.03
    best: 26.71 (ABPN)
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597

Methodology4 results

  • 16konDIV8K val - 16x upscaling
    LPIPS· 2020-05-26
    0.345
    best: 0.321 (Ours w/o cycle-loss)
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 16konDIV8K test - 16x upscaling
    LPIPS· 2020-05-26
    0.348
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 16konDIV8K test - 16x upscaling
    PSNR· 2020-05-26
    23.38
    SOTA
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597
  • 16konDIV8K val - 16x upscaling
    PSNR· 2020-05-26
    24.03
    best: 26.71 (ABPN)
    Perceptual Extreme Super Resolution Network with Receptive Field BlockarXiv:2005.12597