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Models/RIFE

RIFE

Reported on 20 benchmarks across 2 tasks · 2 papers · 16 SOTA

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

Computer Vision20 results

  • VideoonLAVIB
    LPIPS· 2024-06-14
    0.1416
    best: 0.02934 (FLAVR)
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • Video Frame InterpolationonLAVIB
    LPIPS· 2024-06-14
    0.1416
    best: 0.02934 (FLAVR)
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • VideoonMSU Video Frame Interpolation
    FPS· 2020-11-12
    27.3
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonMSU Video Frame Interpolation
    LPIPS· 2020-11-12
    0.039
    best: 0.021 (DQBC)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonMSU Video Frame Interpolation
    MS-SSIM· 2020-11-12
    0.939
    best: 0.965 (EMA-VFI)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonMSU Video Frame Interpolation
    PSNR· 2020-11-12
    27.15
    best: 29.89 (EMA-VFI)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonMSU Video Frame Interpolation
    SSIM· 2020-11-12
    0.914
    best: 0.953 (EMA-VFI)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonMSU Video Frame Interpolation
    Subjective score· 2020-11-12
    1.99
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonMSU Video Frame Interpolation
    VMAF· 2020-11-12
    66.33
    best: 72.12 (DQBC)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    FPS· 2020-11-12
    27.3
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    LPIPS· 2020-11-12
    0.039
    best: 0.021 (DQBC)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    MS-SSIM· 2020-11-12
    0.939
    best: 0.965 (EMA-VFI)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    PSNR· 2020-11-12
    27.15
    best: 29.89 (EMA-VFI)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    SSIM· 2020-11-12
    0.914
    best: 0.953 (EMA-VFI)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    Subjective score· 2020-11-12
    1.99
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • Video Frame InterpolationonMSU Video Frame Interpolation
    VMAF· 2020-11-12
    66.33
    best: 72.12 (DQBC)
    SOTA
    RIFE: Real-Time Intermediate Flow Estimation for Video Frame InterpolationarXiv:2011.06294
  • VideoonLAVIB
    PSNR· 2024-06-14
    27.88
    best: 33.44 (FLAVR)
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • VideoonLAVIB
    SSIM· 2024-06-14
    0.871
    best: 0.981 (FLAVR)
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • Video Frame InterpolationonLAVIB
    PSNR· 2024-06-14
    27.88
    best: 33.44 (FLAVR)
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • Video Frame InterpolationonLAVIB
    SSIM· 2024-06-14
    0.871
    best: 0.981 (FLAVR)
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754