Code Release

[junhaozhang98]

Congrats on this great work!! When will the code be released? Thanks!

[arianaa30]

Good work. My question too! Looking forward to trying it out!

[fgtm2023]

+3

[headkit]

What is this trend of releasing AI projects on GitHub without code? GitHub was designed for open source code to be shared. If you only use it as a marketing platform, you make yourself rather untrustworthy. You can make a lot of claims, but without evidence they remain claims.

[piwawa]

What is this trend of releasing AI projects on GitHub without code? GitHub was designed for open source code to be shared. If you only use it as a marketing platform, you make yourself rather untrustworthy. You can make a lot of claims, but without evidence they remain claims.

Can't agree more. Recently, I saw many projects which just opened source "image". That is very disgusting and corrupting GitHub platform.

[MatthewK78]

Where's the beef?

[shunyue1320]

+1

[Ha0Tang]

+1

[zsxkib]

+1

[Feynman1999]

can you release the training dataset first?

[sczhou]

Hi everyone, we apologize for the delay in releasing the code due to changes in our plans.

We truly appreciate your patience, but please understand that we have never viewed GitHub as a "marketing platform" (@headkit). Instead, we have always been committed to sharing our research work with the community to advance both research and industry. Most of our previous work has already been released, including all training and test code as well as datasets. Some featured code and datasets can be found here: https://shangchenzhou.com/code_datasets.html

In response to request by @Feynman1999 , we plan to first release the training dataset next week. And we will make the code public once this paper is accepted. This allow us time to further improve our code for better use. Please stay tuned!😊

Thank you all for your attention and understanding :-)
Cheers!

[i-amgeek]

@sczhou Really appreciate the great work you are doing. Especially codeformer is really awesome, almost magical.

[MelihDarcanxyz]

Late but clean code is always better than early but spaghetti code. Thank you so much!

[pawansharmaaaa]

I'm eagerly anticipating the release, @sczhou! Your work consistently impresses me, and I'm grateful for your valuable contributions to the community.

[fgtm2023]

I'm eagerly anticipating the release, @sczhou! Your work consistently impresses me, and I'm grateful for your valuable contributions to the community.

let's hope the release will be soon 🤞🤞🤞🤞

[TonightGo]

waiting

[BoxFishLab]

+1

[XGGNet]

Looking forward to the great code!

[ahmadmustafaanis]

Great work.
Looking forward to the code.

[lalalune]

Will be watching this. Congratulations on the research.

[Z-YuPeng]

Hi everyone, we apologize for the delay in releasing the code due to changes in our plans.

We truly appreciate your patience, but please understand that we have never viewed GitHub as a "marketing platform" (@headkit). Instead, we have always been committed to sharing our research work with the community to advance both research and industry. Most of our previous work has already been released, including all training and test code as well as datasets. Some featured code and datasets can be found here: https://shangchenzhou.com/code_datasets.html

In response to request by @Feynman1999 , we plan to first release the training dataset next week. And we will make the code public once this paper is accepted. This allow us time to further improve our code for better use. Please stay tuned!😊

Thank you all for your attention and understanding :-) Cheers!

Congratulations! It seems that the paper has been accepted by CVPR 2024, any timeline for the open-source of this amazing work? @sczhou