Research on AIGC-Based Ethnic Pattern Generation and Lacquer Art Cultural Product Design

DOI

10.2991/978-94-6239-737-8_7How to use a DOI?

Keywords

AIGC; ethnic patterns; diffusion model; lacquer art; cultural and creative design; generative design

Abstract

With the rapid development of artificial intelligence generated content (AIGC), its application in cultural and creative design has shown great potential. This paper proposes an AIGC-based method for ethnic pattern generation and applies it to lacquer art cultural product design. By integrating feature extraction, diffusion-based generative models, and computer-aided design techniques, the proposed framework enables the transformation of traditional ethnic patterns into innovative design resources. Experimental results demonstrate that the method achieves superior performance in visual quality, structural consistency, and cultural relevance compared with baseline approaches. The generated patterns can be effectively adapted to lacquer art products, improving both design efficiency and practical applicability. This study provides a feasible pathway for the digital inheritance and innovative development of ethnic culture.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Weijing Zhong
AU  - Yingfei Jia
AU  - Jiufang Mei
AU  - Ling Jin
PY  - 2026
DA  - 2026/08/18
TI  - Research on AIGC-Based Ethnic Pattern Generation and Lacquer Art Cultural Product Design
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 40
EP  - 46
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_7
DO  - 10.2991/978-94-6239-737-8_7
ID  - Zhong2026
ER  -