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

When I use another dataset，The generated data is not as much as the original data #32

Open

CWF-999 opened this issue Dec 12, 2019 · 1 comment

CWF-999 commented Dec 12, 2019

When I use another dataset，The generated data is not as much as the original data.For example, my training set is 3G, and I only got 2G generated pictures in the end. What is the reason? Where else to modify?
In addition, if the number of training iterations is increased (the default is 100,000), will the quality of the generated images be higher?

I will be grateful if you can answer

Contributor

layumi commented Feb 26, 2020

Hi @wfchenwf
Sorry for the late response. I think I was working on the IJCAI submission at that time.

How do you generate the samples? Actually, if the original dataset contains N images, you could generate NxN images theoretically.
Actually, it could be improved. But the improvement might be small.

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