Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Why choose 6 residual blocks in the generator but not 9 as in CycleGAN? #10

Open
pao-hui opened this issue Jun 29, 2020 · 2 comments
Open

Comments

@pao-hui
Copy link

pao-hui commented Jun 29, 2020

Hi, does anyone know why the BeautyGAN authors choose 6 residual blocks in the generator but not 9 as in CycleGAN because the training images are 256*256?

I also find that some unofficial implementations based on tensorflow are using 9 blocks. For example, https://github.com/baldFemale/beautyGAN-tf-Implement

It's really weird!

@thaoshibe
Copy link

Have you figured it out why?

@XYFFFFFF
Copy link

Do u know the difference between BeautyGAN and CycleGAN? If i want to train ,which one should i choose

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants