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/IPT

IPT

Reported on 18 benchmarks across 7 tasks · 1 paper · 17 SOTA

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

Computer Vision10 results

  • Rain RemovalonRain100L
    PSNR· uses extra data· 2020-12-01
    41.62
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • DenoisingonUrban100 sigma50
    PSNR· uses extra data· 2020-12-01
    29.71
    best: 30.59 (Hi-IR)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • DenoisingonCBSD68 sigma50
    PSNR· uses extra data· 2020-12-01
    29.39
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • Image Super-ResolutiononBSD100 - 2x upscaling
    PSNR· uses extra data· 2020-12-01
    32.48
    best: 33.12 (WaveMixSR-V2)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • Image Super-ResolutiononSet14 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    30.85
    best: 31.55 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • Image Super-ResolutiononUrban100 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    29.49
    best: 31.07 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • 3D Object Super-ResolutiononBSD100 - 2x upscaling
    PSNR· uses extra data· 2020-12-01
    32.48
    best: 33.12 (WaveMixSR-V2)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • 3D Object Super-ResolutiononSet14 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    30.85
    best: 31.55 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • 3D Object Super-ResolutiononUrban100 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    29.49
    best: 31.07 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • Rain RemovalonRain100L
    SSIM· uses extra data· 2020-12-01
    0.988
    Pre-Trained Image Processing TransformerarXiv:2012.00364

Graphs3 results

  • Super-ResolutiononBSD100 - 2x upscaling
    PSNR· uses extra data· 2020-12-01
    32.48
    best: 33.12 (WaveMixSR-V2)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • Super-ResolutiononSet14 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    30.85
    best: 31.55 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • Super-ResolutiononUrban100 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    29.49
    best: 31.07 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364

Methodology3 results

  • 16konBSD100 - 2x upscaling
    PSNR· uses extra data· 2020-12-01
    32.48
    best: 33.12 (WaveMixSR-V2)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • 16konSet14 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    30.85
    best: 31.55 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • 16konUrban100 - 3x upscaling
    PSNR· uses extra data· 2020-12-01
    29.49
    best: 31.07 (Hi-IR-L)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364

Adversarial2 results

  • 3D ArchitectureonUrban100 sigma50
    PSNR· uses extra data· 2020-12-01
    29.71
    best: 30.59 (Hi-IR)
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364
  • 3D ArchitectureonCBSD68 sigma50
    PSNR· uses extra data· 2020-12-01
    29.39
    SOTA
    Pre-Trained Image Processing TransformerarXiv:2012.00364