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

Model generalization ability? #6

Open
yuchen-ji opened this issue Mar 20, 2023 · 2 comments
Open

Model generalization ability? #6

yuchen-ji opened this issue Mar 20, 2023 · 2 comments

Comments

@yuchen-ji
Copy link

Can the model in this article be generalized on images outside the dataset, such as completing a masked chair image?

@idealwhite
Copy link
Owner

It can not. The provided weights are trained on a limited small dataset. But the method could be used for open-domain data. For example, you can replace the image encoder with CLIP and train it on a large image-text dataset. Besides, existing diffusion models like GLIDE and StableDiffusion provide better paint ability. If your machine can not run a diffusion model, you may use this TDANet network.

@yuchen-ji
Copy link
Author

I see. Thank you very much for your work and suggestions!

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