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Models/FeFlow

FeFlow

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
    0.07
    best: 0.021 (DQBC)
  • VideoonMSU Video Frame Interpolation
    MS-SSIM
    0.894
    best: 0.965 (EMA-VFI)
  • VideoonMSU Video Frame Interpolation
    PSNR
    23.28
    best: 29.89 (EMA-VFI)
  • VideoonMSU Video Frame Interpolation
    SSIM
    0.889
    best: 0.953 (EMA-VFI)
  • VideoonMSU Video Frame Interpolation
    VMAF
    58.11
    best: 72.12 (DQBC)
  • VideoonX4K1000FPS
    PSNR
    24
    best: 32.92 (HiFI)
  • VideoonX4K1000FPS
    SSIM
    0.756
    best: 0.939 (DBVI)
  • VideoonX4K1000FPS
    tOF
    6.59
    best: 6.89 (AdaCoF)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    LPIPS
    0.07
    best: 0.021 (DQBC)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    MS-SSIM
    0.894
    best: 0.965 (EMA-VFI)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    PSNR
    23.28
    best: 29.89 (EMA-VFI)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    SSIM
    0.889
    best: 0.953 (EMA-VFI)
  • Video Frame InterpolationonMSU Video Frame Interpolation
    VMAF
    58.11
    best: 72.12 (DQBC)
  • Video Frame InterpolationonX4K1000FPS
    PSNR
    24
    best: 32.92 (HiFI)
  • Video Frame InterpolationonX4K1000FPS
    SSIM
    0.756
    best: 0.939 (DBVI)
  • Video Frame InterpolationonX4K1000FPS
    tOF
    6.59
    best: 6.89 (AdaCoF)