TY - GEN
T1 - Interactive AI-Driven Platform for the Traditional Kite Patterns Design
AU - Zhang, Shunan
AU - Lyu, Desheng
AU - Nie, Kexin
AU - Li, Zongze
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Kite-making is a traditional Chinese craft recognized as an important form of intangible cultural heritage (ICH). With deep historical roots, kite patterns often carry significant cultural symbolism, reflecting regional aesthetics and craftsmanship. However, with the rapid pace of modernization, traditional crafts like kite-making face challenges such as the decline in skilled artisans and reduced public interest, threatening their preservation and dissemination. Taking the iconic Beijing Swallow Kite as an example, this paper introduces a platform that preserves and evolves traditional kite-making heritage through the integration of generative artificial intelligence (GAI). To achieve this, we first conducted an in-depth analysis of the artistic elements of the Beijing Swallow Kite, including its shape, color, and patterns, to guide the preservation and reinterpretation of traditional kite designs. Based on this analysis, we designed and developed an interactive platform that allows users to create personalized kite designs. To support this, we trained a specialized AI model based on the unique features of the Beijing Swallow Kite. This AI model was then integrated into the platform, enabling the real-time generation of new kite patterns from user sketches. Evaluation results indicate that the platform effectively supports users in designing traditional kite patterns, allowing them to engage deeply with cultural heritage while experimenting with creative variations. Future work will focus on addressing ethical concerns related to the protection of cultural heritage and expanding the platform’s application to other forms of ICH.
AB - Kite-making is a traditional Chinese craft recognized as an important form of intangible cultural heritage (ICH). With deep historical roots, kite patterns often carry significant cultural symbolism, reflecting regional aesthetics and craftsmanship. However, with the rapid pace of modernization, traditional crafts like kite-making face challenges such as the decline in skilled artisans and reduced public interest, threatening their preservation and dissemination. Taking the iconic Beijing Swallow Kite as an example, this paper introduces a platform that preserves and evolves traditional kite-making heritage through the integration of generative artificial intelligence (GAI). To achieve this, we first conducted an in-depth analysis of the artistic elements of the Beijing Swallow Kite, including its shape, color, and patterns, to guide the preservation and reinterpretation of traditional kite designs. Based on this analysis, we designed and developed an interactive platform that allows users to create personalized kite designs. To support this, we trained a specialized AI model based on the unique features of the Beijing Swallow Kite. This AI model was then integrated into the platform, enabling the real-time generation of new kite patterns from user sketches. Evaluation results indicate that the platform effectively supports users in designing traditional kite patterns, allowing them to engage deeply with cultural heritage while experimenting with creative variations. Future work will focus on addressing ethical concerns related to the protection of cultural heritage and expanding the platform’s application to other forms of ICH.
KW - AI-Driven Design
KW - Beijing Swallow Kite
KW - Intangible Cultural Heritage
KW - Interactive Design Platform
UR - https://www.scopus.com/pages/publications/105007826002
U2 - 10.1007/978-3-031-93160-4_14
DO - 10.1007/978-3-031-93160-4_14
M3 - 会议稿件
AN - SCOPUS:105007826002
SN - 9783031931598
T3 - Lecture Notes in Computer Science
SP - 216
EP - 228
BT - Culture and Computing - 13th International Conference, C and C 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
A2 - Rauterberg, Matthias
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Culture and Computing, C and C 2025, held as part of the 27th HCI International Conference, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -