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

about the results of CLTS-GAN #14

Closed
rhyhck opened this issue Jan 14, 2025 · 1 comment
Closed

about the results of CLTS-GAN #14

rhyhck opened this issue Jan 14, 2025 · 1 comment

Comments

@rhyhck
Copy link

rhyhck commented Jan 14, 2025

Hello, author. When I was trying to reproduce CLST-GAN, I used the dataset and model weights from the link you provided. However, the results I obtained are significantly different from the results you showed. Could you please help me understand the reason for this? Here is the link you provided: https://zenodo.org/records/7036198.
1_fake_B2
2_fake_B1

@sanadeem
Copy link
Contributor

Thank you for reaching out. Unfortunately, the student who worked on this left a while back. We will be revisiting this repo when a new student joins. Leave a comment on what is different. This is a stochastic model and you will see different results every time you run the model with different noise. I see changes in specular reflection/texture between the images you posted which means the model is working for the specular/texture noise vector. Our observation was that the changes will be more pronounced if you start from the virtual colonoscopy gray scale image rather than the OC image.

image

image

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