Noise Estimation On Sidd

Average KL Divergence

PSNR Gap

Results

Performance results of various models on this benchmark

			Paper Title
CBDNet	0.728	8.30	Toward Convolutional Blind Denoising of Real Photographs
ULRD	0.545	4.90	Unprocessing Images for Learned Raw Denoising
GRDN	0.443	2.28	GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
DANet	0.212	2.06	Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
PNGAN	0.153	0.84	Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training

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