Face-sketch learning with human sketch-drawing order enforcement  

作　　者：Liang CHANG Lihua JIN Lifen WENG Wentao CHAO Xuguang WANG Xiaoming DENG Qiulei DONG 

机构地区：[1]School of Artificial Intelligence,Beijing Normal University,Beijing 100875,China [2]Department of Design Art,Xiamen University of Technology,Xiamen 361024,China [3]Department of Automation,North China Electric Power University,Baoding 071003,China [4]Beijing Key Laboratory of Human Computer Interactions,Institute of Software,Chinese Academy of Sciences,Beijing 100190,China [5]National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China [6]School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China [7]Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Science China(Information Sciences)》2020年第11期270-272,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Key R&D Program of China(Grant Nos.2017YFB1402105,2019YFC1521100);National Natural Science Foundation of China(Grant Nos.U1805264,61573359,61672103,61473276,61402040);Natural Science Foundation of Beijing(Grant No.L182052)。

摘　　要：Dear editor,Although face-sketch synthesis generates a sketch from a given face photo automatically[1],it is an open research problem in computer vision[2–4].Recently,several deep neural network(DNN)methods for face-sketch synthesis have been proposed with considerable results.

关 键 词：EDITOR SKETCH COMPUTER 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]