Video Frame Interpolation On Snu Film Extreme
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 | 25.40 | 0.863 |
| learning-cross-video-neural-representations | 25.44 | 0.8638 |
| spatio-temporal-multi-flow-network-for-video | 25.81 | - |
| deep-bayesian-video-frame-interpolation | 25.90 | 0.876 |
| video-frame-interpolation-with-densely | 25.61 | 0.8648 |
| extracting-motion-and-appearance-via-inter | 25.69 | 0.8661 |
| vfimamba-video-frame-interpolation-with-state | 25.79 | 0.8682 |
| a-unified-pyramid-recurrent-network-for-video | 25.63 | 0.8641 |