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

About non-id space training. #28

Open
NNNNAI opened this issue Jul 10, 2021 · 1 comment
Open

About non-id space training. #28

NNNNAI opened this issue Jul 10, 2021 · 1 comment

Comments

@NNNNAI
Copy link

NNNNAI commented Jul 10, 2021

Thanks for sharing your work.Could you tell me how you train the non-id speace and what kind of loss did you use.Cause I find that there are seems not loss for non-id space training have been mentioned in the paper. Many thanks.

@Hangz-nju-cuhk
Copy link
Owner

Hangz-nju-cuhk commented Jul 16, 2021

Normally no loss is needed for this space learning. I found later that the non-identity space could be trained faster in the Face Reenactment setting, which is described in the paper "Neural head reenactment with latent pose descriptors." CVPR 2020.

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