RaceGAN: A Framework for Preserving Individuality while Converting Racial Information for Image-to-Image Translation

Mst Tasnim Pervin, George Bebis, Fang Jiang +1

Generative adversarial networks (GANs) have demonstrated significant progress in unpaired image-to-image translation in recent years for several applications. CycleGAN was the firs…