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Aigc empowers the sustainable development of traditional Chinese paper-cut

Bibliographic Data

ID7750047
AuthorsDaoling Chen (0000-0003-2746-7551, Minjiang University), Pengpeng Cheng (Zhejiang University of Science and Technology, corresponding author)
Year2025
Volume40
Issue4
Pages1115-1125
Publication date2025-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDigital Scholarship in the Humanities (JOURNAL)
Journal identifiersISSN: 2055-7671 • E-ISSN: 2055-768X
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/llc/fqaf053
OpenAlexW4414384391
LanguageEN
Citations received1
References cited10

This research aims to explore the application of artificial intelligence-generated content (AIGC) technology in traditional Chinese paper-cut design and promote the protection and inheritance of traditional Chinese paper-cut culture. First, the paper-cut works of paper-cut artist are analyzed to extract the characteristic factors of her design styles. Second, based on the characteristics of the paper-cut style, a dedicated dataset for model training is constructed and passed into the fine-tuning network to train and generate a Low-Rank Adaptation (LoRA) fine-tuning model with the design style characteristics of the paper-cut artists. Finally, the paper-cut LoRA model is combined with the stable diffusion model to complete the intelligent design practice of traditional paper-cut. Through experimental verification, the paper-cut model trained in this research can effectively realize the migration design of traditional paper-cut artists’ design style and improve the efficiency of paper-cut design. This research proposes a paper-cut style generation method based on AIGC, which provides a new perspective for the protection and development of paper-cut culture. This method reduces the difficulty of paper-cut design, optimizes the design process, and improves design efficiency, providing technical support for the sustainable development of paper-cut art. At the same time, it also has important significance and value for the digital inheritance and innovation of other intangible cultural heritage

Adaptation (eye) · Design methods · Inheritance (genetic algorithm) · Perspective (graphical) · Style (visual arts) · Sustainable Design · Sustainable development · Value (mathematics) · Aesthetic Perception and Analysis · Conservation Techniques and Studies · Digital Media and Visual Art

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    Open Access•Naai-Jung Shih, Yan-Ting Chen•Heritage•2026

  • AI-Assisted Restoration of Yangshao Painted Pottery Using LoRA and Stable Diffusion

    Open Access•Xinyi Zhang•Heritage•2024

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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