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 the extraction of "Fp" #23

Closed
happyday521 opened this issue May 17, 2021 · 2 comments
Closed

About the extraction of "Fp" #23

happyday521 opened this issue May 17, 2021 · 2 comments

Comments

@happyday521
Copy link

Hi,
In your paper, you "concatenate the source image Is, the source parsing map Ss, the generated parsing map Sg and the target pose Pt in depth (channel) dimension and extract its feature Fp ", as shown in the Fig.
image

However, in my opinion, Fp should aims to provide the target pose information. Why do you additionally use the source image Is and the source parsing map Ss as input? Do you try to only use Sg and Pt to extract Fp ?
Thanks!

@Zhangjinso
Copy link
Owner

Zhangjinso commented May 18, 2021

Hi,
We found this pipeline can disentangle the shape and style information in the texture transfer model. I believe it is a good try to only take Sg and Pt as the inputs of the image generator, and I have tried to do it. Besides, if you would like to do it, more normalization blocks are recommended to adopt in the image generator.

@happyday521
Copy link
Author

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

2 participants