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

Results on Face Images #89

Open
SURABHI-GUPTA opened this issue May 29, 2021 · 1 comment
Open

Results on Face Images #89

SURABHI-GUPTA opened this issue May 29, 2021 · 1 comment

Comments

@SURABHI-GUPTA
Copy link

@DmitryUlyanov @albarji @cclauss How about impainting on face images? Let's say a portion of the face is occluded. Does your impainting code work well on such images?

@HaraldKorneliussen
Copy link

The point of this paper was to show how far you could get using only the prior implicit in the model architecture itself. Since the usual convolutional model doesn't have any built-in notions of noses, eyes etc. so it's not at all competitive to a trained inpainting network... But you can always try to get an idea of how well (or badly) it does on your model of choice, what I especially liked about this paper was how dead simple it was to implement.

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