About the 'Kernel Estimation' and 'Noise collection '

[babyjia]

I have not found 'Kernel Estimation' and 'Noise collection ' in data codes, is it not included in release codes so far?

[YunjinChen]

同问+1

[fuuuyuuu]

"Noise collection" is hard to understand through this paper ... but "Kernel Estimation" can be found in paper "Blind Super-Resolution Kernel Estimation using an Internal-GAN"

[ALLinLLM]

@fuuuyuuu I try 3 kinds of Noise collection to create "noise pool", they are:

1. doble slide window in Image Blind Denoising With Generative Adversarial Network Based Noise Modeling
2. NoiseGAN in Kernel Modeling Super-Resolution on Real Low-Resolution Images
3. ||mean(pixel) - std(pixel)|| in Noise2Blur: Online Noise Extraction and Denoising

However, @jixiaozhong I failed to achieve the pretrained realSR model's perceptual quality level 😭 really want to learn the way you train the model

[jixiaozhong]

The noise cut variance is set as 20, and the patch size is set as 256. Convert RGB to Gray and calculate the variance.
We are open source code through the company's channels, and the training code should be released soon (maybe a week or two).