Deblurring On Realblur R Trained On Gopro
評価指標
PSNR (sRGB)
SSIM (sRGB)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | 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 |