CalliPaint: Chinese Calligraphy Inpainting with Diffusion Model

Qisheng Liao, Zhinuo Wang, Muhammad Abdul-Mageed, Gus Xia
12/3/2023
cs.CV

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Abstract

Chinese calligraphy can be viewed as a unique form of visual art. Recent advancements in computer vision hold significant potential for the future development of generative models in the realm of Chinese calligraphy. Nevertheless, methods of Chinese calligraphy inpainting, which can be effectively used in the art and education fields, remain relatively unexplored. In this paper, we introduce a new model that harnesses recent advancements in both Chinese calligraphy generation and image inpainting. We demonstrate that our proposed model CalliPaint can produce convincing Chinese calligraphy.

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Cite this paper

@article{liao2023callipaint,
  title  = {CalliPaint: Chinese Calligraphy Inpainting with Diffusion Model},
  author = {Qisheng Liao and Zhinuo Wang and Muhammad Abdul-Mageed and Gus Xia},
  year   = {2023},
  eprint = {2312.01536},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.01536v1}
}

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