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Models/HAT_FIR

HAT_FIR

Reported on 56 benchmarks across 4 tasks · 1 paper

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

Computer Vision28 results

  • Image Super-ResolutiononBSD100 - 2x upscaling
    PSNR· 2022-08-24
    32.71
    best: 33.12 (WaveMixSR-V2)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononSet14 - 3x upscaling
    PSNR· 2022-08-24
    31.37
    best: 31.55 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononSet14 - 2x upscaling
    PSNR· 2022-08-24
    35.17
    best: 35.36 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2022-08-24
    29.44
    best: 29.54 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononSet5 - 3x upscaling
    PSNR· 2022-08-24
    35.21
    best: 35.35 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononManga109 - 4x upscaling
    PSNR· 2022-08-24
    33.03
    best: 33.19 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononUrban100 - 2x upscaling
    PSNR· 2022-08-24
    34.94
    best: 35.24 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononManga109 - 3x upscaling
    PSNR· 2022-08-24
    35.92
    best: 36.12 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononSet5 - 2x upscaling
    PSNR· 2022-08-24
    38.74
    best: 39.14 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononManga109 - 2x upscaling
    PSNR· 2022-08-24
    40.77
    best: 41.22 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononUrban100 - 4x upscaling
    PSNR· 2022-08-24
    28.43
    best: 28.72 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononUrban100 - 3x upscaling
    PSNR· 2022-08-24
    30.77
    best: 31.07 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2022-08-24
    28.07
    best: 28.16 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Image Super-ResolutiononBSD100 - 3x upscaling
    PSNR· 2022-08-24
    29.6
    best: 29.67 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononBSD100 - 2x upscaling
    PSNR· 2022-08-24
    32.71
    best: 33.12 (WaveMixSR-V2)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononSet14 - 3x upscaling
    PSNR· 2022-08-24
    31.37
    best: 31.55 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononSet14 - 2x upscaling
    PSNR· 2022-08-24
    35.17
    best: 35.36 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2022-08-24
    29.44
    best: 29.54 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononSet5 - 3x upscaling
    PSNR· 2022-08-24
    35.21
    best: 35.35 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononManga109 - 4x upscaling
    PSNR· 2022-08-24
    33.03
    best: 33.19 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononUrban100 - 2x upscaling
    PSNR· 2022-08-24
    34.94
    best: 35.24 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononManga109 - 3x upscaling
    PSNR· 2022-08-24
    35.92
    best: 36.12 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononSet5 - 2x upscaling
    PSNR· 2022-08-24
    38.74
    best: 39.14 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononManga109 - 2x upscaling
    PSNR· 2022-08-24
    40.77
    best: 41.22 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononUrban100 - 4x upscaling
    PSNR· 2022-08-24
    28.43
    best: 28.72 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononUrban100 - 3x upscaling
    PSNR· 2022-08-24
    30.77
    best: 31.07 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2022-08-24
    28.07
    best: 28.16 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 3D Object Super-ResolutiononBSD100 - 3x upscaling
    PSNR· 2022-08-24
    29.6
    best: 29.67 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247

Graphs14 results

  • Super-ResolutiononBSD100 - 2x upscaling
    PSNR· 2022-08-24
    32.71
    best: 33.12 (WaveMixSR-V2)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononSet14 - 3x upscaling
    PSNR· 2022-08-24
    31.37
    best: 31.55 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononSet14 - 2x upscaling
    PSNR· 2022-08-24
    35.17
    best: 35.36 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2022-08-24
    29.44
    best: 29.54 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononSet5 - 3x upscaling
    PSNR· 2022-08-24
    35.21
    best: 35.35 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononManga109 - 4x upscaling
    PSNR· 2022-08-24
    33.03
    best: 33.19 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononUrban100 - 2x upscaling
    PSNR· 2022-08-24
    34.94
    best: 35.24 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononManga109 - 3x upscaling
    PSNR· 2022-08-24
    35.92
    best: 36.12 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononSet5 - 2x upscaling
    PSNR· 2022-08-24
    38.74
    best: 39.14 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononManga109 - 2x upscaling
    PSNR· 2022-08-24
    40.77
    best: 41.22 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononUrban100 - 4x upscaling
    PSNR· 2022-08-24
    28.43
    best: 28.72 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononUrban100 - 3x upscaling
    PSNR· 2022-08-24
    30.77
    best: 31.07 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2022-08-24
    28.07
    best: 28.16 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • Super-ResolutiononBSD100 - 3x upscaling
    PSNR· 2022-08-24
    29.6
    best: 29.67 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247

Methodology14 results

  • 16konBSD100 - 2x upscaling
    PSNR· 2022-08-24
    32.71
    best: 33.12 (WaveMixSR-V2)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konSet14 - 3x upscaling
    PSNR· 2022-08-24
    31.37
    best: 31.55 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konSet14 - 2x upscaling
    PSNR· 2022-08-24
    35.17
    best: 35.36 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konSet14 - 4x upscaling
    PSNR· 2022-08-24
    29.44
    best: 29.54 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konSet5 - 3x upscaling
    PSNR· 2022-08-24
    35.21
    best: 35.35 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konManga109 - 4x upscaling
    PSNR· 2022-08-24
    33.03
    best: 33.19 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konUrban100 - 2x upscaling
    PSNR· 2022-08-24
    34.94
    best: 35.24 (HMA†)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konManga109 - 3x upscaling
    PSNR· 2022-08-24
    35.92
    best: 36.12 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konSet5 - 2x upscaling
    PSNR· 2022-08-24
    38.74
    best: 39.14 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konManga109 - 2x upscaling
    PSNR· 2022-08-24
    40.77
    best: 41.22 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konUrban100 - 4x upscaling
    PSNR· 2022-08-24
    28.43
    best: 28.72 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konUrban100 - 3x upscaling
    PSNR· 2022-08-24
    30.77
    best: 31.07 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konBSD100 - 4x upscaling
    PSNR· 2022-08-24
    28.07
    best: 28.16 (DRCT-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247
  • 16konBSD100 - 3x upscaling
    PSNR· 2022-08-24
    29.6
    best: 29.67 (Hi-IR-L)
    SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionarXiv:2208.11247