Image Denoising On Sidd

Metrics

PSNR (sRGB)

SSIM (sRGB)

Results

Performance results of various models on this benchmark

Model Name	PSNR (sRGB)	SSIM (sRGB)	Paper Title	Repository
AKDT	39.70	0.961	AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising
MIRNet	39.72	0.959	Learning Enriched Features for Real Image Restoration and Enhancement	-
MAXIM-3S	39.96	0.960	MAXIM: Multi-Axis MLP for Image Processing	-
HINet	39.99	0.958	HINet: Half Instance Normalization Network for Image Restoration	-
VDN	39.28	0.956	Variational Denoising Network: Toward Blind Noise Modeling and Removal	-
RIDNet	38.71	0.951	Real Image Denoising with Feature Attention	-
DRANet	-	0.957	Dual Residual Attention Network for Image Denoising	-
NAFNet	40.30	0.961	Simple Baselines for Image Restoration	-
DANet+	39.47	0.957	Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation	-
SSAMAN	40.08	0.962	Single Stage Adaptive Multi-Attention Network for Image Restoration
CGNet	40.39	0.964	CascadedGaze: Efficiency in Global Context Extraction for Image Restoration	-
AINDNet	38.95	0.952	Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization	-
NBNet	-	0.973	NBNet: Noise Basis Learning for Image Denoising with Subspace Projection	-
Restormer	40.02	0.960	Restormer: Efficient Transformer for High-Resolution Image Restoration	-
CBDNet	30.78	0.801	Toward Convolutional Blind Denoising of Real Photographs	-
SADNet	39.46	0.957	Spatial-Adaptive Network for Single Image Denoising	-
SRMNet	39.72	0.959	Selective Residual M-Net for Real Image Denoising	-
KBNet	40.35	0.972	KBNet: Kernel Basis Network for Image Restoration	-
CycleISP	39.52	0.957	CycleISP: Real Image Restoration via Improved Data Synthesis	-
Uformer-B	39.89	0.960	Uformer: A General U-Shaped Transformer for Image Restoration	-

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