A Domain-Guided Model for Facial Cartoonlization

作     者：Nan Yang Bingjie Xia Zhi Han Tianran Wang Nan Yang;Bingjie Xia;Zhi Han;Tianran Wang

作者机构：Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016 University of Chinese Academy of SciencesBeijing 100049China IEEE 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2022年第9卷第10期

页      面：1886-1888页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China(61903358) 

主　　题：networks interface Domain 

摘      要：Dear Editor,This work investigates the issue of facial cartoonlization under the condition of lacking training *** propose a domain-guided model(DGM)to realize facial cartoonlization for different kinds of *** 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.