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/FeFlow_f

FeFlow_f

Reported on 16 benchmarks across 2 tasks

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

Computer Vision16 results

  • VideoonMSU Video Frame Interpolation
    LPIPS
    0.06
    best: 0.021 (DQBC)
  • VideoonMSU Video Frame Interpolation
    MS-SSIM
    0.911
    best: 0.965 (EMA-VFI)
  • VideoonMSU Video Frame Interpolation
    PSNR
    24.48
    best: 29.89 (EMA-VFI)
  • VideoonMSU Video Frame Interpolation
    SSIM
    0.902
    best: 0.953 (EMA-VFI)
  • VideoonMSU Video Frame Interpolation
    VMAF
    60.7
    best: 72.12 (DQBC)
  • VideoonX4K1000FPS
    PSNR
    25.16
    best: 32.92 (HiFI)
  • VideoonX4K1000FPS
    SSIM
    0.783
    best: 0.939 (DBVI)
  • VideoonX4K1000FPS
    tOF
    6.54
    best: 6.89 (AdaCoF)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    LPIPS
    0.06
    best: 0.021 (DQBC)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    MS-SSIM
    0.911
    best: 0.965 (EMA-VFI)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    PSNR
    24.48
    best: 29.89 (EMA-VFI)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    SSIM
    0.902
    best: 0.953 (EMA-VFI)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    VMAF
    60.7
    best: 72.12 (DQBC)
  • Video Frame InterpolationonX4K1000FPS
    PSNR
    25.16
    best: 32.92 (HiFI)
  • Video Frame InterpolationonX4K1000FPS
    SSIM
    0.783
    best: 0.939 (DBVI)
  • Video Frame InterpolationonX4K1000FPS
    tOF
    6.54
    best: 6.89 (AdaCoF)