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Models/nearest neighbors

nearest neighbors

Reported on 24 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 Vision12 results

  • Image Super-ResolutiononSet14 - 4x upscaling
    MOS· 2016-09-15
    1.2
    best: 3.72 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Image Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2016-09-15
    24.64
    best: 29.54 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Image Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2016-09-15
    0.71
    best: 0.894 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Image Super-ResolutiononBSD100 - 4x upscaling
    MOS· 2016-09-15
    1.11
    best: 3.56 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Image Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2016-09-15
    25.02
    best: 28.16 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Image Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2016-09-15
    0.6606
    best: 0.851 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    MOS· 2016-09-15
    1.2
    best: 3.72 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2016-09-15
    24.64
    best: 29.54 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2016-09-15
    0.71
    best: 0.894 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    MOS· 2016-09-15
    1.11
    best: 3.56 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2016-09-15
    25.02
    best: 28.16 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2016-09-15
    0.6606
    best: 0.851 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802

Graphs6 results

  • Super-ResolutiononSet14 - 4x upscaling
    MOS· 2016-09-15
    1.2
    best: 3.72 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2016-09-15
    24.64
    best: 29.54 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2016-09-15
    0.71
    best: 0.894 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Super-ResolutiononBSD100 - 4x upscaling
    MOS· 2016-09-15
    1.11
    best: 3.56 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2016-09-15
    25.02
    best: 28.16 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2016-09-15
    0.6606
    best: 0.851 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802

Methodology6 results

  • 16konSet14 - 4x upscaling
    MOS· 2016-09-15
    1.2
    best: 3.72 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 16konSet14 - 4x upscaling
    PSNR· 2016-09-15
    24.64
    best: 29.54 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 16konSet14 - 4x upscaling
    SSIM· 2016-09-15
    0.71
    best: 0.894 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 16konBSD100 - 4x upscaling
    MOS· 2016-09-15
    1.11
    best: 3.56 (SRGAN)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 16konBSD100 - 4x upscaling
    PSNR· 2016-09-15
    25.02
    best: 28.16 (DRCT-L)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802
  • 16konBSD100 - 4x upscaling
    SSIM· 2016-09-15
    0.6606
    best: 0.851 (Edge-informed SR)
    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkarXiv:1609.04802