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Deblurring On Realblur J Trained On Gopro

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PSNR (sRGB)

SSIM (sRGB)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	PSNR (sRGB)	SSIM (sRGB)	Paper Title	Repository
ALGNet	29.12	0.886	Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
DeepRFT+	28.88	0.880	Intriguing Findings of Frequency Selection for Image Deblurring
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
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
DeblurDiNAT-L	28.98	0.885	DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
Uformer-B	29.06	0.884	Uformer: A General U-Shaped Transformer for Image Restoration
Pan et al	27.22	0.790	Blind Image Deblurring Using Dark Channel Prior	-
SRN	28.56	-	Scale-recurrent Network for Deep Image Deblurring
MPRNet	28.70	0.873	Multi-Stage Progressive Image Restoration
MAXIM	28.83	0.875	MAXIM: Multi-Axis MLP for Image Processing
Restormer	28.96	0.879	Restormer: Efficient Transformer for High-Resolution Image Restoration
MSSNet	28.79	0.879	MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
DeblurGAN-v2	28.70	0.866	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

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Deblurring On Realblur J Trained On Gopro | SOTA | HyperAI