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Deblurring On Based

Metrics

ERQAv2.0

LPIPS

PSNR

SSIM

Subjective

VMAF

Results

Performance results of various models on this benchmark

							Paper Title	Repository
NAFNet (REDS)	0.74508	0.08561	30.54803	0.95035	2.8405	66.85941	Simple Baselines for Image Restoration
VRT (GoPro)	0.74874	0.08165	31.42945	0.94503	2.3854	66.72253	VRT: A Video Restoration Transformer
VRT (REDS)	0.75056	0.08248	30.97878	0.94601	1.5660	66.81782	VRT: A Video Restoration Transformer
DeblurGAN Inception	-	-	-	-	1.0375	-	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
MAXIM (REDS)	0.74277	0.07836	-	0.94959	1.0081	67.3502	MAXIM: Multi-Axis MLP for Image Processing
Deeprft (GoPro)	0.74323	0.08326	31.57612	0.94484	0.5354	66.55057	Intriguing Findings of Frequency Selection for Image Deblurring
Deeprft (REDS)	0.74339	0.08139	31.32349	0.94479	0.4622	66.46811	Intriguing Findings of Frequency Selection for Image Deblurring
MPR local	0.74521	0.08323	31.65037	0.94542	0.4407	67.01788	Improving Image Restoration by Revisiting Global Information Aggregation
MAXIM (GoPro)	-	0.09188	31.36344	0.94386	0.2070	67.7557	MAXIM: Multi-Axis MLP for Image Processing
Restormer local	0.73875	0.08251	31.12341	0.94217	0.1231	65.25911	Restormer: Efficient Transformer for High-Resolution Image Restoration
Restormer	0.74776	0.08239	31.76111	0.94632	0.1175	66.3964	Restormer: Efficient Transformer for High-Resolution Image Restoration

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Deblurring On Based | SOTA | HyperAI