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Deblurring On Realblur R

Métriques

PSNR (sRGB)

Params

SSIM (sRGB)

Résultats

Résultats de performance de divers modèles sur ce benchmark

				Paper Title	Repository
AdaRevD	41.19	-	0.979	AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
ALGNet	41.16	-	0.981	Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
ID-Blau (Stripformer)	41.06	-	0.977	ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
MLWNet	40.69	-	0.976	Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
ID-Blau (FFTformer)	40.45	-	0.975	ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
ID-Blau (Restormer)	40.31	-	0.974	ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
LoFormer	40.23	-	0.974	LoFormer: Local Frequency Transformer for Image Deblurring
FFTformer	40.11	-	0.9737	Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring
DeepRFT+	40.01	-	0.973	Intriguing Findings of Frequency Selection for Image Deblurring
Stripformer	39.84	20	0.974	Stripformer: Strip Transformer for Fast Image Deblurring
MSSNet	39.76	15.59	0.972	MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
BANet	39.55	-	0.971	BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
MAXIM	39.45	-	-	MAXIM: Multi-Axis MLP for Image Processing
MPRNet	39.31	-	0.972	Multi-Stage Progressive Image Restoration
SRN	38.65	8.06	0.965	Scale-recurrent Network for Deep Image Deblurring
DeblurGAN-v2	36.44	-	0.935	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
MAXIM-3S	-	-	0.961	MAXIM: Multi-Axis MLP for Image Processing

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