Noise Estimation on SIDD

Metric: Average KL Divergence (higher is better)

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#	Model↕	Average KL Divergence▼	Extra Data	Paper	Date↕	Code
1	CBDNet	0.728	No	Toward Convolutional Blind Denoising of Real Pho...	2018-07-12	Code
2	ULRD	0.545	No	Unprocessing Images for Learned Raw Denoising	2018-11-27	Code
3	GRDN	0.443	No	GRDN:Grouped Residual Dense Network for Real Ima...	2019-05-27	Code
4	DANet	0.212	No	Dual Adversarial Network: Toward Real-world Nois...	2020-07-12	Code
5	PNGAN	0.153	No	Learning to Generate Realistic Noisy Images via ...	2022-04-06	Code

#1CBDNetSOTA
0.728
Average KL Divergence· 2018-07-12
Toward Convolutional Blind Denoising of Real Photographs Code
#2ULRD
0.545
Average KL Divergence· 2018-11-27
Unprocessing Images for Learned Raw Denoising Code
#3GRDN
0.443
Average KL Divergence· 2019-05-27
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling Code
#4DANet
0.212
Average KL Divergence· 2020-07-12
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation Code
#5PNGAN
0.153
Average KL Divergence· 2022-04-06
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training Code