Jpeg Artifact Correction On Live1 Quality 30 1
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR |
|---|---|
| multi-level-wavelet-cnn-for-image-restoration | 33.45 |
| quantization-guided-jpeg-artifact-correction | 33.23 |
| one-size-fits-all-hypernetwork-for-tunable | 32.56 |
| beyond-a-gaussian-denoiser-residual-learning | 32.98 |
| hierarchical-information-flow-for-generalized | 33.73 |
| towards-flexible-blind-jpeg-artifacts-removal | 33.54 |
| residual-dense-network-for-image-restoration | 33.54 |