CalliPaint: Chinese Calligraphy Inpainting with Diffusion Model
Qisheng Liao ⋅ Zhinuo Wang ⋅ Muhammad Abdul-Mageed ⋅ Gus Xia
2023 Poster
in
Workshop: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design
in
Workshop: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design
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.
Chat is not available.
Successful Page Load