Technology of Graphic & Image
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3164-3167

Chinese fonts style transfer based on generative adversarial networks

Teng Shaohua
Kong Lengrui
School of Computers, Guangdong University of Technology, Guangzhou 510006, China

Abstract

A variety of Chinese characters is an important Chinese cultural symbol. Its design and operation are a hard work requiring a lot of professional knowledge. Therefore, for this work, this paper proposed a new method of Chinese fonts style transfer based on generative adversarial networks. In the experiment, it used a generative model based on the residual network structure and performed the adversarial training between the generative model and the discriminative model under the constraint of mean square error. At last, the trained generative model could be used to implement one-to-one and many-to-many style transfer between different Chinese fonts. Experiments show that, compared with the usual l1 regularization method used before, the method in this paper has better performance in fonts detail generation, simplifies Chinese fonts modeling, improves the fidelity of generated images, and has better flexibility and versatility.

Foundation Support

国家自然科学基金资助项目(61402118,61673123,61603100,61702110)
广东省科技计划资助项目(2015B090901016,2016B010108007)
广东省教育厅项目(粤教高函[2018]1号,[2015]133号,[2014]97号)
广州市科技计划项目(201604020145,201604030034,201508010067,201604046017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0330
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3164-3167
Serial Number: 1001-3695(2019)10-064-3164-04

Publish History

[2019-10-05] Printed Article

Cite This Article

滕少华, 孔棱睿. 基于生成式对抗网络的中文字体风格迁移 [J]. 计算机应用研究, 2019, 36 (10): 3164-3167. (Teng Shaohua, Kong Lengrui. Chinese fonts style transfer based on generative adversarial networks [J]. Application Research of Computers, 2019, 36 (10): 3164-3167. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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