Grayscale Image Denoising On Urban100 Sigma25
Métriques
PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR |
|---|---|
| hierarchical-information-flow-for-generalized | 31.92 |
| neural-nearest-neighbors-networks | 30.19 |
| non-local-recurrent-network-for-image | 30.94 |
| revisiting-global-statistics-aggregation-for | 31.55 |
| multi-level-wavelet-cnn-for-image-restoration | 30.66 |
| beyond-a-gaussian-denoiser-residual-learning | 29.97 |
| swinir-image-restoration-using-swin | 31.3 |
| deep-graph-convolutional-image-denoising | 30.95 |
| restormer-efficient-transformer-for-high | 31.46 |
| kbnet-kernel-basis-network-for-image | 31.45 |