TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SOF-VSR-BI

SOF-VSR-BI

Reported on 77 benchmarks across 11 tasks · 1 paper

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

Computer Vision35 results

  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • VideoonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Video Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Object Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129

Knowledge Base14 results

  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 2D Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Absolute Human Pose EstimationonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129

Graphs7 results

  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • Super-ResolutiononMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129

Methodology7 results

  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3DonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129

Playing Games7 results

  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 3D Face AnimationonMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129

Audio7 results

  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    1 - LPIPS· 2020-01-06
    0.904
    best: 0.623 (DFDnet)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    ERQAv1.0· 2020-01-06
    0.66
    best: 0.758 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    FPS· 2020-01-06
    0.571
    best: 5.882 (SRMD)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    PSNR· 2020-01-06
    29.381
    best: 31.669 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    QRCRv1.0· 2020-01-06
    0.557
    best: 0.722 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    SSIM· 2020-01-06
    0.872
    best: 0.902 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129
  • 1 Image, 2*2 StitchionMSU Video Super Resolution Benchmark: Detail Restoration
    Subjective score· 2020-01-06
    4.805
    best: 7.628 (VRT)
    Deep Video Super-Resolution using HR Optical Flow EstimationarXiv:2001.02129