Deblurring On Hide Trained On Gopro
المقاييس
PSNR (sRGB)
Params (M)
SSIM (sRGB)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | PSNR (sRGB) | Params (M) | SSIM (sRGB) |
|---|---|---|---|
| revisiting-global-statistics-aggregation-for | 31.19 | 20.1 | 0.942 |
| النموذج 2 | 29.98 | - | 0.930 |
| multi-stage-progressive-image-restoration | 30.96 | 20.1 | 0.939 |
| revisiting-global-statistics-aggregation-for | 31.49 | 26.13 | 0.945 |
| deep-residual-fourier-transformation-for | 31.66 | - | 0.946 |
| adarevd-adaptive-patch-exiting-reversible-1 | 32.35 | - | 0.953 |
| stripformer-strip-transformer-for-fast-image | 31.03 | - | 0.94 |
| deblurdinat-a-lightweight-and-effective | 31.47 | 16.1 | 0.944 |
| efficient-frequency-domain-based-transformers | 31.62 | 16.6 | 0.9455 |
| prompt-based-all-in-one-image-restoration | 31.86 | - | 0.949 |
| maxim-multi-axis-mlp-for-image-processing | 32.83 | 22.2 | 0.956 |
| النموذج 12 | 29.11 | - | 0.913 |
| uformer-a-general-u-shaped-transformer-for | 30.83 | 50.88 | 0.952 |
| revisiting-image-deblurring-with-an-efficient | 31.58 | 37.5 | 0.946 |
| deblurring-by-realistic-blurring | 28.94 | - | 0.915 |
| deep-multi-scale-convolutional-neural-network | 25.73 | - | - |
| multi-temporal-recurrent-neural-networks-for | 29.15 | 2.6 | 0.918 |
| loformer-local-frequency-transformer-for | 31.86 | - | 0.949 |
| restormer-efficient-transformer-for-high | 31.22 | 26.13 | 0.942 |
| banet-blur-aware-attention-networks-for | 30.16 | - | 0.93 |
| deep-stacked-hierarchical-multi-patch-network | 29.09 | 7.23 | 0.924 |
| id-blau-image-deblurring-by-implicit | 31.50 | - | 0.944 |
| id-blau-image-deblurring-by-implicit | 31.66 | - | 0.947 |
| id-blau-image-deblurring-by-implicit | 31.94 | - | 0.949 |
| scale-recurrent-network-for-deep-image | 28.36 | 8.06 | 0.915 |