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Models/FLAVR

FLAVR

Reported on 10 benchmarks across 2 tasks · 2 papers · 10 SOTA

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

Computer Vision10 results

  • VideoonLAVIB
    LPIPS· 2024-06-14
    0.02934
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • VideoonLAVIB
    PSNR· 2024-06-14
    33.44
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • VideoonLAVIB
    SSIM· 2024-06-14
    0.981
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • Video Frame InterpolationonLAVIB
    LPIPS· 2024-06-14
    0.02934
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • Video Frame InterpolationonLAVIB
    PSNR· 2024-06-14
    33.44
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • Video Frame InterpolationonLAVIB
    SSIM· 2024-06-14
    0.981
    SOTA
    LAVIB: A Large-scale Video Interpolation BenchmarkarXiv:2406.09754
  • VideoonGoPro
    PSNR· 2020-12-15
    31.31
    best: 31.73 (DBVI)
    SOTA
    FLAVR: Flow-Agnostic Video Representations for Fast Frame InterpolationarXiv:2012.08512
  • VideoonGoPro
    SSIM· 2020-12-15
    0.94
    best: 0.947 (DBVI)
    SOTA
    FLAVR: Flow-Agnostic Video Representations for Fast Frame InterpolationarXiv:2012.08512
  • Video Frame InterpolationonGoPro
    PSNR· 2020-12-15
    31.31
    best: 31.73 (DBVI)
    SOTA
    FLAVR: Flow-Agnostic Video Representations for Fast Frame InterpolationarXiv:2012.08512
  • Video Frame InterpolationonGoPro
    SSIM· 2020-12-15
    0.94
    best: 0.947 (DBVI)
    SOTA
    FLAVR: Flow-Agnostic Video Representations for Fast Frame InterpolationarXiv:2012.08512