Dr. Huanhuan Jia Profile

Dr. Huanhuan Jia

at Xi'an Univ of Technology

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Proceedings Article | 31 January 2020 Paper

Chinese font translation with improved Wasserstein generative adversarial network

Yalin Miao, Huanhuan Jia, Kaixu Tang, Yichun Ji

Proceedings Volume 11433, 114333O (2020) https://doi.org/10.1117/12.2559366

KEYWORDS: Convolution, Image processing, Internet, Neural networks

Read Abstract +

Nowadays, various fonts are applied in many fields, and the generation of multiple fonts by computer plays an important role in the inheritance, development and innovation of Chinese culture. Aiming at the existing font generation methods, which have some problems such as stroke deletion, artifact and blur, this paper proposes Chinese font translation with improved wasserstein generative adversarial network. The wasserstein distance is used to measure distance and difference between the two distributions, and the gradient penalty mechanism is used instead of the weight clipping. The residual dense blocks with better flexibility are selected as the core component to extract the features fully and enhance the information transmission between network layers. It realizes the style migration between different Chinese fonts. Experiments show that the proposed method has better performance in font generation details, simplifies the font translation process, and improves the fidelity of font generation.

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