HyperAI

Deblurring On Hide Trained On Gopro

Metrics

PSNR (sRGB)
Params (M)
SSIM (sRGB)

Results

Performance results of various models on this benchmark

Comparison Table
Model NamePSNR (sRGB)Params (M)SSIM (sRGB)
revisiting-global-statistics-aggregation-for31.1920.10.942
Model 229.98-0.930
multi-stage-progressive-image-restoration30.9620.10.939
revisiting-global-statistics-aggregation-for31.4926.130.945
deep-residual-fourier-transformation-for31.66-0.946
adarevd-adaptive-patch-exiting-reversible-132.35-0.953
stripformer-strip-transformer-for-fast-image31.03-0.94
deblurdinat-a-lightweight-and-effective31.4716.10.944
efficient-frequency-domain-based-transformers31.6216.60.9455
prompt-based-all-in-one-image-restoration31.86-0.949
maxim-multi-axis-mlp-for-image-processing32.8322.20.956
Model 1229.11-0.913
uformer-a-general-u-shaped-transformer-for30.8350.880.952
revisiting-image-deblurring-with-an-efficient31.5837.50.946
deblurring-by-realistic-blurring28.94-0.915
deep-multi-scale-convolutional-neural-network25.73--
multi-temporal-recurrent-neural-networks-for29.152.60.918
loformer-local-frequency-transformer-for31.86-0.949
restormer-efficient-transformer-for-high31.2226.130.942
banet-blur-aware-attention-networks-for30.16-0.93
deep-stacked-hierarchical-multi-patch-network29.097.230.924
id-blau-image-deblurring-by-implicit31.50-0.944
id-blau-image-deblurring-by-implicit31.66-0.947
id-blau-image-deblurring-by-implicit31.94-0.949
scale-recurrent-network-for-deep-image28.368.060.915