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

Artifacts of the output #11

Open
jinyixin621 opened this issue Jun 19, 2017 · 2 comments
Open

Artifacts of the output #11

jinyixin621 opened this issue Jun 19, 2017 · 2 comments

Comments

@jinyixin621
Copy link

Hello,

As I noticed your outputs have some red and green dots pattern which looks like artifacts generated by the network. But from the output of the original paper, there is no such effect. Do you have any idea about this?

Thanks

@huangzehao
Copy link
Owner

Have you update your codes?
https://github.com/huangzehao/torch-srgan/blob/master/test.lua#L34
It is caused by batchnorm, so I set model:evaluate() to model:training().

@jinyixin621
Copy link
Author

But it says in the paper that "During test time we turn batch-normalization update off to obtain an output that deterministically depends only on the input [32]."

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

2 participants