Video Frame Interpolation On Snu Film Easy
Métriques
PSNR
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR | SSIM |
|---|---|---|
| enhanced-bi-directional-motion-estimation-for | 40.28 | 0.9910 |
| a-unified-pyramid-recurrent-network-for-video | 40.44 | 0.9911 |
| video-frame-interpolation-with-densely | 40.31 | 0.9909 |
| vfimamba-video-frame-interpolation-with-state | 40.51 | 0.9912 |
| deep-bayesian-video-frame-interpolation | 40.46 | 0.991 |
| spatio-temporal-multi-flow-network-for-video | 40.775 | - |
| learning-cross-video-neural-representations | 39.9 | 0.9910 |
| extracting-motion-and-appearance-via-inter | 39.98 | 0.9910 |