Deblurring On Realblur R Trained On Gopro
Métriques
PSNR (sRGB)
SSIM (sRGB)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | PSNR (sRGB) | SSIM (sRGB) |
|---|---|---|
| revisiting-image-deblurring-with-an-efficient | 36.08 | 0.955 |
| blind-image-deblurring-using-dark-channel | 34.01 | 0.916 |
| unnatural-l0-sparse-representation-for | - | 0.937 |
| multi-stage-progressive-image-restoration | 35.99 | 0.952 |
| scale-recurrent-network-for-deep-image | - | 0.947 |
| aggregating-local-and-global-features-via | 36.35 | 0.961 |
| adarevd-adaptive-patch-exiting-reversible-1 | 36.53 | 0.957 |
| deep-stacked-hierarchical-multi-patch-network | - | 0.948 |
| restormer-efficient-transformer-for-high | 36.19 | 0.957 |
| deblurdinat-a-lightweight-and-effective | 36.09 | 0.955 |
| dynamic-scene-deblurring-using-spatially | - | 0.947 |
| deep-multi-scale-convolutional-neural-network | - | 0.841 |
| deblurgan-v2-deblurring-orders-of-magnitude | - | 0.944 |
| uformer-a-general-u-shaped-transformer-for | 36.22 | 0.957 |
| deblurgan-blind-motion-deblurring-using | - | 0.903 |
| deblurring-low-light-images-with-light | 33.67 | 0.916 |
| maxim-multi-axis-mlp-for-image-processing | 35.78 | - |
| deep-residual-fourier-transformation-for | 36.11 | 0.955 |
| mssnet-multi-scale-stage-network-for-single | 35.93 | 0.953 |