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Models/CSRCNN

CSRCNN

Reported on 48 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Computer Vision24 results

  • Image Super-ResolutiononBSD200 - 2x upscaling
    PSNR· 2020-08-24
    32.92
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononBSD200 - 2x upscaling
    SSIM· 2020-08-24
    0.9122
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononBSD200 - 2x upscaling
    PSNR· 2020-08-24
    32.92
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononBSD200 - 2x upscaling
    SSIM· 2020-08-24
    0.9122
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet14 - 2x upscaling
    PSNR· 2020-08-24
    34.34
    best: 35.36 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet14 - 2x upscaling
    SSIM· 2020-08-24
    0.924
    best: 0.9311 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2020-08-24
    28.47
    best: 29.54 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2020-08-24
    0.772
    best: 0.894 (Edge-informed SR)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet14 - 8x upscaling
    PSNR· 2020-08-24
    24.3
    best: 25.41 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet14 - 8x upscaling
    SSIM· 2020-08-24
    0.614
    best: 0.657 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet5 - 2x upscaling
    PSNR· 2020-08-24
    37.45
    best: 39.14 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet5 - 2x upscaling
    SSIM· 2020-08-24
    0.957
    best: 0.9663 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet5 - 8x upscaling
    PSNR· 2020-08-24
    25.74
    best: 29.03 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Image Super-ResolutiononSet5 - 8x upscaling
    SSIM· 2020-08-24
    0.715
    best: 0.8299 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet14 - 2x upscaling
    PSNR· 2020-08-24
    34.34
    best: 35.36 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet14 - 2x upscaling
    SSIM· 2020-08-24
    0.924
    best: 0.9311 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2020-08-24
    28.47
    best: 29.54 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2020-08-24
    0.772
    best: 0.894 (Edge-informed SR)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet14 - 8x upscaling
    PSNR· 2020-08-24
    24.3
    best: 25.41 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet14 - 8x upscaling
    SSIM· 2020-08-24
    0.614
    best: 0.657 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet5 - 2x upscaling
    PSNR· 2020-08-24
    37.45
    best: 39.14 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet5 - 2x upscaling
    SSIM· 2020-08-24
    0.957
    best: 0.9663 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet5 - 8x upscaling
    PSNR· 2020-08-24
    25.74
    best: 29.03 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 3D Object Super-ResolutiononSet5 - 8x upscaling
    SSIM· 2020-08-24
    0.715
    best: 0.8299 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329

Graphs12 results

  • Super-ResolutiononBSD200 - 2x upscaling
    PSNR· 2020-08-24
    32.92
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononBSD200 - 2x upscaling
    SSIM· 2020-08-24
    0.9122
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet14 - 2x upscaling
    PSNR· 2020-08-24
    34.34
    best: 35.36 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet14 - 2x upscaling
    SSIM· 2020-08-24
    0.924
    best: 0.9311 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2020-08-24
    28.47
    best: 29.54 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2020-08-24
    0.772
    best: 0.894 (Edge-informed SR)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet14 - 8x upscaling
    PSNR· 2020-08-24
    24.3
    best: 25.41 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet14 - 8x upscaling
    SSIM· 2020-08-24
    0.614
    best: 0.657 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet5 - 2x upscaling
    PSNR· 2020-08-24
    37.45
    best: 39.14 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet5 - 2x upscaling
    SSIM· 2020-08-24
    0.957
    best: 0.9663 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet5 - 8x upscaling
    PSNR· 2020-08-24
    25.74
    best: 29.03 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • Super-ResolutiononSet5 - 8x upscaling
    SSIM· 2020-08-24
    0.715
    best: 0.8299 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329

Methodology12 results

  • 16konBSD200 - 2x upscaling
    PSNR· 2020-08-24
    32.92
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konBSD200 - 2x upscaling
    SSIM· 2020-08-24
    0.9122
    SOTA
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet14 - 2x upscaling
    PSNR· 2020-08-24
    34.34
    best: 35.36 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet14 - 2x upscaling
    SSIM· 2020-08-24
    0.924
    best: 0.9311 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet14 - 4x upscaling
    PSNR· 2020-08-24
    28.47
    best: 29.54 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet14 - 4x upscaling
    SSIM· 2020-08-24
    0.772
    best: 0.894 (Edge-informed SR)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet14 - 8x upscaling
    PSNR· 2020-08-24
    24.3
    best: 25.41 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet14 - 8x upscaling
    SSIM· 2020-08-24
    0.614
    best: 0.657 (DBPN-RES-MR64-3)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet5 - 2x upscaling
    PSNR· 2020-08-24
    37.45
    best: 39.14 (DRCT-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet5 - 2x upscaling
    SSIM· 2020-08-24
    0.957
    best: 0.9663 (Hi-IR-L)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet5 - 8x upscaling
    PSNR· 2020-08-24
    25.74
    best: 29.03 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329
  • 16konSet5 - 8x upscaling
    SSIM· 2020-08-24
    0.715
    best: 0.8299 (MFSRCNN)
    Cascade Convolutional Neural Network for Image Super-ResolutionarXiv:2008.10329