Face sketch synthesis using conditional adversarial networks

Abstract

In this paper, we explore the use of recent conditional generative adversarial network framework for image to image translation applied to the domain of heterogeneous face sketch synthesis. Since the inception of the adversarial framework in 2014, great success has been noted with several variants till date. Further, we introduce a new dataset for composite sketch images. In particular we explore sketch to digital photo, digital photo to sketch as well as composite sketch to digital image translations. The results indicate the great potential of the adversarial frameworks for face sketch synthesis.