akanimax/fagan
A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)
This project helps machine learning engineers and researchers create realistic synthetic images, particularly human faces. By training the system on existing image datasets, it can generate new, unique images that resemble the training data. This is useful for expanding datasets, testing models, or exploring novel image generation techniques.
114 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, diverse synthetic images, such as faces, from a trained model.
Not ideal if you are looking for an out-of-the-box solution for general image manipulation or editing, as it requires training and fine-tuning.
Stars
114
Forks
31
Language
Python
License
MIT
Category
Last pushed
Nov 21, 2018
Commits (30d)
0
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