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

Questions about the weight for pixel loss #11

Open
zhaodongsun opened this issue Mar 20, 2019 · 0 comments
Open

Questions about the weight for pixel loss #11

zhaodongsun opened this issue Mar 20, 2019 · 0 comments

Comments

@zhaodongsun
Copy link

Hello,

I noticed that you use 15 as the weight for pixel loss, which is much larger than other weights such as for perceptual loss, frequency loss and also generator loss. If such a large coefficient is used, the influence of the discriminator will be reduced and the generator might become a direct estimator approximately. I would like to know if mode collapse can happen when the large weight for pixel loss is used.

BTW, I implemented conditional WGAN for MRI without pixel loss, but the image quality is not good enough.

Thanks!

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

1 participant