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GCA
juwaeze/GCA
GCA is a image-to-image model from juwaeze. Use it when you need one image transformed into another. The card lists the license as mit.
We explore how to construct unbiased Chest X-Ray datasets using StyleGAN! <img width="1035" alt="Screenshot 2025-03-29 at 3 05 31 AM" src="https://github.com/user-attachments/assets/3839dcf0-6094-448e-916c-f7635a668ca…
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Updated Apr 1, 2025
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.py54.9 KB · 57%
At a glance
- Task
- Image-to-Image
- License
- mit
- Access
- Public
- Created
- Mar 27, 2025
- Updated
- Apr 1, 2025
- SHA
- 9e839351
Model card
From the Hugging Face model README
Generative Counterfactual Augmentation (GCA)
We explore how to construct unbiased Chest X-Ray datasets using StyleGAN!
<img width="1035" alt="Screenshot 2025-03-29 at 3 05 31 AM" src="https://github.com/user-attachments/assets/3839dcf0-6094-448e-916c-f7635a668ca7" />
OverView
Introduction
This is the pytorch version of previously proposed GCA algorithm. Debiasing large chest X-ray datasets using StyleGAN3. We use code from HiddenInPlainSight repository to demonstrate our methods robustness agains adversarial attacks
- Task
- Image-to-Image
- License
- mit
- Languages
- en
- Created
- Mar 27, 2025
- Updated
- Apr 1, 2025