Video Frame Interpolation On Snu Film Hard
Métriques
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR | SSIM |
|---|---|---|
| video-frame-interpolation-with-densely | 30.94 | 0.9378 |
| learning-cross-video-neural-representations | 30.66 | 0.9373 |
| a-unified-pyramid-recurrent-network-for-video | 30.86 | 0.9377 |
| deep-bayesian-video-frame-interpolation | 31.68 | 0.953 |
| spatio-temporal-multi-flow-network-for-video | 31.698 | - |
| extracting-motion-and-appearance-via-inter | 30.94 | 0.9392 |
| enhanced-bi-directional-motion-estimation-for | 30.64 | 0.937 |
| vfimamba-video-frame-interpolation-with-state | 30.99 | 0.9401 |