Introduction
Recent advances in Generative Adversarial Network (GAN) have shown impressive results in the quality and resolution of the images synthesized, especially in the field of style transfer. Motivated by the recent success of StyleGAN [1], where stochastic variation is incorporated in the realistic-looking synthesized images, we propose to focus on one of the most practical variations — hairstyle.
A hairstyle, as an important part of personal appearance, can be expressive of one’s personality and overall style. More often than not, the right hairstyle can only be discovered through trial and error. Thus, being able to virtually “try on” a novel hairstyle through a computer vision system seems to hold practical value in reality.

#stylegan #computer-vision #generative-adversarial #deep-learning