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

Build benchmark to evaluate text->image generative models #14

Open
rom1504 opened this issue Apr 10, 2022 · 5 comments
Open

Build benchmark to evaluate text->image generative models #14

rom1504 opened this issue Apr 10, 2022 · 5 comments

Comments

@rom1504
Copy link

rom1504 commented Apr 10, 2022

I think it would be really interesting to collect a list of prompts for each "text->image" task, eg

  • illustrations
  • realistic
  • compositions
  • many classes
  • faces/people
    etc

and then turn that into a benchmark
so we would know what each model strengths really are

@rom1504
Copy link
Author

rom1504 commented Apr 10, 2022

I'm sure I'm not the first one to have this idea, so the first task would be collecting papers that did things on the topic

@rom1504
Copy link
Author

rom1504 commented Apr 11, 2022

@christophschuhmann
Copy link

@rom1504
Copy link
Author

rom1504 commented Apr 11, 2022

That seems to be a plan for evaluating the retrieval task for #13

Here is for generative models

@rom1504 rom1504 changed the title Build benchmark to evaluate text->image models Build benchmark to evaluate text->image generative models Apr 11, 2022
@mehdidc
Copy link

mehdidc commented Apr 13, 2022

This would be super cool. I haven't read it yet but this paper is very relevant to this https://arxiv.org/abs/2202.04053

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants