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Deblurring On Realblur J Trained On Gopro

Metrics

PSNR (sRGB)

SSIM (sRGB)

Results

Performance results of various models on this benchmark

			Paper Title	Repository
AdaRevD	30.12	0.894	AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
UFPNet	29.87	0.884	Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring	-
ALGNet	29.12	0.886	Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
Uformer-B	29.06	0.884	Uformer: A General U-Shaped Transformer for Image Restoration
DeblurDiNAT-L	28.98	0.885	DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
Restormer	28.96	0.879	Restormer: Efficient Transformer for High-Resolution Image Restoration
DeepRFT+	28.88	0.880	Intriguing Findings of Frequency Selection for Image Deblurring
MAXIM	28.83	0.875	MAXIM: Multi-Axis MLP for Image Processing
MSSNet	28.79	0.879	MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
MPRNet	28.70	0.873	Multi-Stage Progressive Image Restoration
DeblurGAN-v2	28.70	0.866	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
SRN	28.56	-	Scale-recurrent Network for Deep Image Deblurring
Pan et al	27.22	0.790	Blind Image Deblurring Using Dark Channel Prior	-
Hu et al	26.41	0.803	Deblurring Low-light Images with Light Streaks	-
DeblurGAN	-	0.834	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

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Deblurring On Realblur J Trained On Gopro | SOTA | HyperAI