Video Frame Interpolation On X4K1000Fps
평가 지표
PSNR
SSIM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
모델 이름 | PSNR | SSIM |
---|---|---|
asymmetric-bilateral-motion-estimation-for | 30.16 | 0.8793 |
deep-bayesian-video-frame-interpolation | 32.89 | 0.939 |
featureflow-robust-video-interpolation-via | 24.00 | 0.756 |
a-unified-pyramid-recurrent-network-for-video | 30.68 | 0.9086 |
depth-aware-video-frame-interpolation | 27.52 | 0.821 |
vfimamba-video-frame-interpolation-with-state | 32.15 | 0.9246 |
many-to-many-splatting-for-efficient-video | 30.81 | 0.912 |
neighbor-correspondence-matching-for-flow | 31.63 | 0.9185 |
enhanced-bi-directional-motion-estimation-for | 29.46 | 0.902 |
high-resolution-frame-interpolation-with | 32.92 | 0.931 |
extracting-motion-and-appearance-via-inter | 31.46 | - |
learning-spatial-transform-for-video-frame | 23.90 | 0.727 |
featureflow-robust-video-interpolation-via | 25.16 | 0.783 |
xvfi-extreme-video-frame-interpolation | 28.86 | 0.858 |
learning-spatial-transform-for-video-frame | 25.81 | 0.772 |
biformer-learning-bilateral-motion-estimation | 31.32 | 0.9212 |
efficient-feature-extraction-for-high | 30.45 | - |
xvfi-extreme-video-frame-interpolation | 30.12 | 0.870 |
enhanced-correlation-matching-based-video | 30.51 | 0.8719 |
depth-aware-video-frame-interpolation | 26.78 | 0.807 |