MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes

Unsupervised style transfer that supports diverse input styles using only one trained generator is a challenging and interesting task in computer vision. This paper proposes a Mult…