REGENERATION OF THE DESIGN OF WEAVING AND EMBROIDERY PATTERNS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Abstract

Purpose of this work is to determine the feasibility of using AIGC (Artificial Intelligence Generated
Content) technology to restore the design of traditional Yao patterns in order to protect and preserve the culture
of the Yao ethnic group, and at the same time contribute to the modernization of the application of traditional
arts.
Methodology: In this study, based on the classification and combing through Yao weaving and
embroidery patterns through literature research, the two selected design patterns are coded and extracted, and
AIGC (Artificial Intelligence Generated Automatic Generation Contents) technology is cited to carry out
regeneration design of the patterns.
Results: By studying the process of creation and evolution of Yao patterns, it was found that its unique
cultural and aesthetic value warrants study and preservation. It was found that patterns created using AIGC
technology not only retain the basic elements of traditional patterns, but also introduce various design
innovations. These newly created templates have a high visual aesthetic and can be applied to the design of
Yao derivative cultures.
Scientific novelty of the study consists in the identification of the main characteristics of the traditional
patterns of the Yao people, and the proposed approach to their preservation and integration into modern
design. By overcoming the limitations of traditional design, this study combines AIGC technology with national
traditional culture.
Practical significance: This study is of great scientific significance because it not only provides a new
method for digital preservation and innovative design of Yao patterns, but also contributes to the study of the
application of artificial intelligence in pattern innovation. Research materials can be used both in educational
courses and in project design practices.