GANiry: Bald-to-Hairy Translation Using CycleGAN
This is an incremental project for computer vision education, focusing on a specific image translation task.
The paper tackles the problem of translating bald men to hairy men using CycleGAN, achieving more realistic results by incorporating perceptual loss and conditional constraints for varied hair styles and colors.
This work presents our computer vision course project called bald men-to-hairy men translation using CycleGAN. On top of CycleGAN architecture, we utilize perceptual loss in order to achieve more realistic results. We also integrate conditional constrains to obtain different stylized and colored hairs on bald men. We conducted extensive experiments and present qualitative results in this paper. Our code and models are available at https://github.com/fidansamet/GANiry.