Research on Chinese painting patterns generation method based on denoising diffusion probability model

Shuhai Sun; Yuanchun Xu

doi:10.1117/12.3026417

27 March 2024 Research on Chinese painting patterns generation method based on denoising diffusion probability model

Shuhai Sun, Yuanchun Xu

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131050A (2024) https://doi.org/10.1117/12.3026417
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

To meet the personalized architectural decoration and daily necessities of ceramic products, low cost, and high efficiency to obtain Chinese painting patterns. This paper designs and realizes the pattern generation scheme of Chinese painting based on the diffusion model. The experimental results show that the model has good image generation ability, and the generated image has higher similarity compared with the original image. It can meet the needs of customized daily ceramics and architectural decoration for traditional Chinese painting patterns. The model provides a new idea for the study of image generation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuhai Sun and Yuanchun Xu "Research on Chinese painting patterns generation method based on denoising diffusion probability model", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131050A (27 March 2024); https://doi.org/10.1117/12.3026417

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