BiTGAN:bilateral generative adversarial networks for Chinese ink wash painting style transfer  

作　　者：Xiao HE Mingrui ZHU Nannan WANG Xiaoyu WANG Xinbo GAO 

机构地区：[1]State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an 710071,China [2]The Chinese University of Hong Kong(Shenzhen),Shenzhen 518172,China [3]Chongqing Key Laboratory of Image Cognition,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

出　　处：《Science China(Information Sciences)》2023年第1期318-319,共2页中国科学（信息科学）（英文版）

基　　金：supported in part by National Key Research and Development Program of China (Grant No.2018AAA0103202);National Natural Science Foundation of China (Grant Nos.62106184,62036007,61922066,61876142,62176198)。

摘　　要：Dear editor,Chinese ink wash painting occupies a pivotal position in Chinese traditional painting and has high artistic value.It is meaningful to design a special automatic algorithm for Chinese ink wash painting style transfer.In existing algorithms,there are two types of methods that can achieve this goal.

关 键 词：PAINTING meaningful EDITOR 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]