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.

Sign up for GitHub

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

Jump to bottom

Use of warping module independently #11

Open

007prateekd opened this issue Jun 14, 2022 · 0 comments

007prateekd commented Jun 14, 2022 •

edited

Loading

Hey, great work! Just a question. It is mentioned in the paper that

The entire warping module is differentiable and can be trained as part of an end-to-end system.

I looked into the code and found (If I am not wrong) that the following lines are responsible for warping.

WarpGAN/warpgan.py

Lines 68 to 70 in 794e24d

    
           encode_B, styles_B = self.encoder(self.images_B) 
        
           deform_BA, render_BA, ldmark_pred, ldmark_diff = self.decoder(encode_B, self.scales_B, None)

So, is there any way of using this encoder and decoder by only using the pretained weights available?

007prateekd changed the title ~~Regarding use of warping module independently~~ Use of warping module independently

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment