franciszekparma/FaceWGAN-GP
Wasserstein GAN with Gradient Penalty implemented in PyTorch.
This project creates realistic, novel human faces from scratch. You provide a collection of real face images, and it learns to generate new, unique 128x128 pixel faces. It's for anyone needing to produce diverse, synthetic facial imagery, such as game developers for character creation or researchers for anonymized datasets.
Use this if you need to generate high-quality, synthetic human faces from a dataset of existing images.
Not ideal if you need to perform tasks like face recognition, manipulate existing images, or generate other types of content besides faces.
Stars
16
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 22, 2026
Commits (30d)
0
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