Deblurring On Realblur J Trained On Gopro
Metrics
PSNR (sRGB)
SSIM (sRGB)
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | PSNR (sRGB) | SSIM (sRGB) |
---|---|---|
aggregating-local-and-global-features-via | 29.12 | 0.886 |
deep-residual-fourier-transformation-for | 28.88 | 0.880 |
deblurring-low-light-images-with-light | 26.41 | 0.803 |
deblurgan-blind-motion-deblurring-using | - | 0.834 |
adarevd-adaptive-patch-exiting-reversible-1 | 30.12 | 0.894 |
self-supervised-non-uniform-kernel-estimation | 29.87 | 0.884 |
deblurdinat-a-lightweight-and-effective | 28.98 | 0.885 |
uformer-a-general-u-shaped-transformer-for | 29.06 | 0.884 |
blind-image-deblurring-using-dark-channel | 27.22 | 0.790 |
scale-recurrent-network-for-deep-image | 28.56 | - |
multi-stage-progressive-image-restoration | 28.70 | 0.873 |
maxim-multi-axis-mlp-for-image-processing | 28.83 | 0.875 |
restormer-efficient-transformer-for-high | 28.96 | 0.879 |
mssnet-multi-scale-stage-network-for-single | 28.79 | 0.879 |
deblurgan-v2-deblurring-orders-of-magnitude | 28.70 | 0.866 |