Learning to Create Multi-stylized Chinese Character Fonts By Generative Adversarial Networks

摘要：

　　Owing to the complex structure of Chinese characters and the huge number of Chinese characters,it is very challeng-ing and time consuming for artists to design a new font of Chinese characters.Therefore,the generation of Chinese characters and the transformation of font styles have be-come research hotspots.At present,most of the models on Chinese character transformation cannot generate multiple fonts,and they are not doing well in faking fonts.In this pa-per,we propose a novel method of Chinese character fonts transformation and generation based on Generative Adver-sarial Networks.Our model is able to generate multiple fonts at once through font style specifying mechanism and it can generate a new font at the same time if we combine the characteristics of existing fonts.

关键词： Chinese font styles transformation Generative Adversarial Networks create new font

作者: Jiefu Chen Xing Xu YanLi Ji Hua Chen

作者单位: Center for Future Media&School of Computer Science and Engineering University of Electronic Science School of Computer Information Engineering,Jiangxi Normal University,China Nanchang,JiangXi

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 213-218

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）