Improved style transfer algorithm in decorative design of ceramic painting

Abstract

The art of decorating Chinese ceramic products is a precious cultural heritage. However, the illustration techniques used in ceramic decoration face challenges in terms of inheritance and protection due to limited transmission methods and low public awareness. In the era of artificial intelligence, traditional ceramic painting techniques are undergoing transformation. To address the lack of systematic guidance in ceramic painting pattern design and the uncertainty of desired design effects, an improved style transfer algorithm is proposed for decorating ceramic products. The algorithm utilizes the watershed algorithm to segment and extract pixels, ensuring shape consistency during the migration process. Additionally, local affine transformation preserves the integrity of points, lines, and surfaces. The designed improved style transfer algorithm is applied in practice, facilitating the design of ceramic cultural and creative products. This advancement simplifies the expression of decorative patterns in ceramic painting, promotes intelligent development in ceramic decoration design, and enables newcomers and the general public to engage in art creation, ultimately safeguarding and inheriting the techniques of ceramic decoration.

Keywords:

• ceramic decoration
• style transfer algorithm
• cultural heritage
• inheritance and protection

Public interest statement

Our research aims to promote the preservation and inheritance of ceramic painting and decoration art to meet the public’s demand for cultural diversity and creative expression. By improving style transfer algorithms, we provide an intelligent solution for ceramic cultural and creative product design. This facilitates the transmission of ceramic painting and decoration techniques and enables designers and the general public to participate more effectively in art creation. Our study strives to drive the modern transformation of ceramic art, protect the cultural treasure of Chinese civilization, and offer increased opportunities for artistic creation and enjoyment, catering to the interests and expectations of the public.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Yongtao Zhao

Yongtao Zhao has been engaged in cultural creative product development for many years, with research focusing on cultural feature analysis and creative product development of cultural creative products, research and achievement transformation of the cultural creative product industry chain construction, new ideas, new technologies, and new materials for the production of cultural creative products. Based on the designed improved style transfer algorithm in this study, features can be extracted from images in the field of art. The feature information of the style image is transferred and transformed onto the target content image, resulting in a synthesized image that preserves the shape and structural information of the target content image while incorporating the color and texture information of the style image.

Mr. Yongtao Zhao, male, 44 years old, is born in Luoyang, Henan Province, China.