Abstract
Chinese characters are different from the English alphabet that English consists of 26 simple words, whereas Chinese characters contain multiple strokes, complex structures and a variety of styles, which makes the study of Chinese character style transfer a challenging problem. In recent years, generative adversarial networks have been used to automatically generate handwritten Chinese characters, but these methods often produce Chinese characters with a variety of stroke errors, such as multiple strokes and missing strokes. Especially, few works focus on the problem of few-shot handwritten Chinese character generation. A further problem that is worth exploring is that in practice, people often want to use only a small number of handwritten Chinese characters, then let the model automatically generate a large number of handwritten Chinese characters with the same style. Therefore, in this paper, few-shot handwritten Chinese character generation is discussed in detail. The experimental results show that it is possible to use only a few tens of handwritten characters to automatically generate a library of handwritten characters with special style.
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