Noise Estimation On Sidd

Average KL Divergence

PSNR Gap

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	Average KL Divergence	PSNR Gap
grdngrouped-residual-dense-network-for-real	0.443	2.28
toward-convolutional-blind-denoising-of-real	0.728	8.30
learning-to-generate-realistic-noisy-images-2	0.153	0.84
unprocessing-images-for-learned-raw-denoising	0.545	4.90
dual-adversarial-network-toward-real-world	0.212	2.06