A Domain-Guided Model for Facial Cartoonlization

Abstract

Dear Editor, This work investigates the issue of facial cartoonlization under the condition of lacking training data. We propose a domain-guided model (DGM) to realize facial cartoonlization for different kinds of faces. It includes two parts: 1) a domain-guided model that contains four different interface networks and can embed an image from a facial domain to a cartoon domain independently; and 2) a one-to-one tutoring strategy that uses a sub-model as a teacher to train other interface networks and can yield fine-grained cartoon faces. Extensive qualitative and quantitative experimental results validate our proposed method, and show that DGM can yield fine-translated results for different kinds of faces and outperforms the state of the art.