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Models/DRCN

DRCN

Reported on 24 benchmarks across 4 tasks · 1 paper · 24 SOTA

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

Computer Vision12 results

  • Image Super-ResolutiononSet14 - 4x upscaling
    MOS· 2015-11-14
    2.84
    best: 3.72 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Image Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2015-11-14
    28.02
    best: 29.54 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Image Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2015-11-14
    0.8074
    best: 0.894 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Image Super-ResolutiononBSD100 - 4x upscaling
    MOS· 2015-11-14
    2.12
    best: 3.56 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Image Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2015-11-14
    27.21
    best: 28.16 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Image Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2015-11-14
    0.7493
    best: 0.851 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    MOS· 2015-11-14
    2.84
    best: 3.72 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2015-11-14
    28.02
    best: 29.54 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2015-11-14
    0.8074
    best: 0.894 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    MOS· 2015-11-14
    2.12
    best: 3.56 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2015-11-14
    27.21
    best: 28.16 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2015-11-14
    0.7493
    best: 0.851 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491

Graphs6 results

  • Super-ResolutiononSet14 - 4x upscaling
    MOS· 2015-11-14
    2.84
    best: 3.72 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2015-11-14
    28.02
    best: 29.54 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2015-11-14
    0.8074
    best: 0.894 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Super-ResolutiononBSD100 - 4x upscaling
    MOS· 2015-11-14
    2.12
    best: 3.56 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2015-11-14
    27.21
    best: 28.16 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2015-11-14
    0.7493
    best: 0.851 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491

Methodology6 results

  • 16konSet14 - 4x upscaling
    MOS· 2015-11-14
    2.84
    best: 3.72 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 16konSet14 - 4x upscaling
    PSNR· 2015-11-14
    28.02
    best: 29.54 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 16konSet14 - 4x upscaling
    SSIM· 2015-11-14
    0.8074
    best: 0.894 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 16konBSD100 - 4x upscaling
    MOS· 2015-11-14
    2.12
    best: 3.56 (SRGAN)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 16konBSD100 - 4x upscaling
    PSNR· 2015-11-14
    27.21
    best: 28.16 (DRCT-L)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491
  • 16konBSD100 - 4x upscaling
    SSIM· 2015-11-14
    0.7493
    best: 0.851 (Edge-informed SR)
    SOTA
    Deeply-Recursive Convolutional Network for Image Super-ResolutionarXiv:1511.04491