z-bingo/awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

• 👋 Hi, I’m @z-bingo
• 👀 I’m interested in computer vision especially its applications on autonomous driving

awesome-image-denoising-state-of-the-art's Issues

Official Pytorch code for CycleISP (CVPR 2020--Oral)

Hi @z-bingo,

Could you please add the following denoising method in your list: https://github.com/swz30/CycleISP

Thank you.

something duplicate

Darmstadt and DND is the same one dataset.

the link is invalid

Hi,thanks for your jobs . But the link is invalid now .Could you please update the link ? Thank you very much

[REQ] Add a (GH-compliant) license file

Hi there, 1st of all thanks for this awesome work !

Since we've 'doxed' it in our HyMPS project (under VIDEO section \ Processing page \ Collections), can you please add a GH-compliant license file for it ?

As you know, expliciting licensing terms is extremely important to let anyone better/faster understand how to reuse/adapt/modify sources (and not only) in other open projects and vice-versa.

Although it may sounds like a minor aspect, license file omission obviously causes an inconsistent generation of the relative badge too:

(badge-generator URL: https://badgen.net/github/license/z-bingo/awesome-image-denoising-state-of-the-art)

You can easily set a standardized one through the GH's license wizard tool.

Last but not least, let us know how we could improve - in your opinion - our categorizations and links to resources in order to favor collaboration between developers (and therefore evolution) of listed projects.

Hope that helps/inspires !