Research on the Application of Generative AI in Digital Art Design for Intangible Cultural Heritage
DOI:
https://doi.org/10.61360/BoniGHSS252017990301Keywords:
generative AI, intangible cultural heritage, digital art design, cultural creativityAbstract
With its unique interactivity, communicative power, and innovativeness, digital art design offers a new pathway for the dissemination of intangible cultural heritage (ICH). As a cutting-edge technology in the field of artificial intelligence, generative AI leverages machine learning algorithms and big data analytics to automatically generate multimodal content such as text, images, audio, and video, thereby greatly enhancing design efficiency. This study examines the characteristics and challenges of digital art design related to ICH, elucidates the fundamental principles and technical features of generative AI, and discusses its application logic and potential scenarios in ICH-focused digital art design. It also identifies the current limitations of generative AI and proposes corresponding solutions, aiming to provide new approaches and methods for ICH transmission and preservation, advance the integration of digital art design with AI technologies, and promote innovative development in the cultural and creative industries related to ICH.
References
Li, B., Bai, Y., Zhan, X., et al. (2023). Technical characteristics and evolution of AI-generated content (AIGC). Library and Information Knowledge, 40(1), 66–74.
Liu, Q., & Liu, Z. (2020). A study on the mind-expression dichotomy in AI-created works. Journal of Dalian University of Technology (Social Sciences), 41(03), 80–88.
Liu, T. (2021). A study on applying virtual reality technology to enhance museum artifact displays. Collection and Investment, 12(02), 105–107.
Liu, X., Li, X., & He, R. (2022). Digital transmission and innovation of intangible cultural heritage from the perspective of interactive virtual reality technology. Art Work, 37(01), 93–98.
Mei, A., & Zheng, Y. (2020). Dilemmas and solutions for AI-generated works: A focus on the first legal case in AI writing. Publishing & Distribution Research, 2020(12), 50–56.
Tang, X., & Feng, Q. (2024). Style capture: Digitizing outstanding traditional culture through AI technology. Packaging Engineering, 45(10), 168–173.
Xu, Z. (2021). Ten major mathematical foundations of artificial intelligence. Science China: Information Sciences, 51(12), 1967–1978.
Yang, S., & Zhuo, F. (2020). Physical-digital symbiosis: A study on the application of artificial intelligence in art and design. Design, 33(19), 98–100.
Ye, C., & Xu, L. (2023). Research on the application of generative AI in new media art. Science & Technology Innovation and Application, 2023(21), 32–35.
Yi, S. (2020). Application of artificial intelligence in the preservation of intangible cultural heritage. Science, Economy and Society, 38(01), 19–25.
Zhong, Y., Wang, J., & Ren, W. (2021). Analysis of Miao embroidery drafting craft based on an intelligent embroidery system. Decoration, 2021(07), 116–119.
Published
Issue
Section
License
Copyright (c) 2025 JIA CHAO
This work is licensed under a Creative Commons Attribution 4.0 International License.
