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Models/S-RFN

S-RFN

Reported on 16 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 Vision8 results

  • Image Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2019-07-24
    0.7946
    best: 0.894 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • Image Super-ResolutiononManga109 - 4x upscaling
    SSIM· 2019-07-24
    0.9211
    best: 0.9366 (Hi-IR-L)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • Image Super-ResolutiononUrban100 - 4x upscaling
    SSIM· 2019-07-24
    0.8169
    best: 0.9481 (SPSR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • Image Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2019-07-24
    0.7515
    best: 0.851 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2019-07-24
    0.7946
    best: 0.894 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 3D Object Super-ResolutiononManga109 - 4x upscaling
    SSIM· 2019-07-24
    0.9211
    best: 0.9366 (Hi-IR-L)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 3D Object Super-ResolutiononUrban100 - 4x upscaling
    SSIM· 2019-07-24
    0.8169
    best: 0.9481 (SPSR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2019-07-24
    0.7515
    best: 0.851 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399

Graphs4 results

  • Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2019-07-24
    0.7946
    best: 0.894 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • Super-ResolutiononManga109 - 4x upscaling
    SSIM· 2019-07-24
    0.9211
    best: 0.9366 (Hi-IR-L)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • Super-ResolutiononUrban100 - 4x upscaling
    SSIM· 2019-07-24
    0.8169
    best: 0.9481 (SPSR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2019-07-24
    0.7515
    best: 0.851 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399

Methodology4 results

  • 16konSet14 - 4x upscaling
    SSIM· 2019-07-24
    0.7946
    best: 0.894 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 16konManga109 - 4x upscaling
    SSIM· 2019-07-24
    0.9211
    best: 0.9366 (Hi-IR-L)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 16konUrban100 - 4x upscaling
    SSIM· 2019-07-24
    0.8169
    best: 0.9481 (SPSR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399
  • 16konBSD100 - 4x upscaling
    SSIM· 2019-07-24
    0.7515
    best: 0.851 (Edge-informed SR)
    Progressive Perception-Oriented Network for Single Image Super-ResolutionarXiv:1907.10399