+ AI"

JI Xianghong, XIA Yuzi

Packaging Engineering ›› 2024, Vol. 45 ›› Issue (16) : 301-312.

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PDF(5466 KB)
Packaging Engineering ›› 2024, Vol. 45 ›› Issue (16) : 301-312. DOI: 10.19554/j.cnki.1001-3563.2024.16.030

+ AI"

  • JI Xianghong, XIA Yuzi
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Abstract

The work aims to explore the innovative design form of Hunan local product packaging under the new mode of "Intangible Cultural Heritage + AI", inherit and develop the intangible cultural heritage, enhance the cultural connotation of local product packaging, and improve the scientific and technological content of the traditional packaging in order to adapt to the ever-increasing aesthetics and consumption needs of contemporary consumers. Through questionnaire survey, in-depth interviews and other methods, the design status quo of the combination of "Intangible Cultural Heritage + AI" mode and contemporary Hunan local product packaging was analyzed to obtain the different needs of consumers for packaging design, summarize the design strategy and practice the innovative application of Tahu Flower Chiseling (paper-cut) in the packaging design of local product Yueyang King Pigeon based on the machine learning and deep learning technology under the new "Intangible Cultural Heritage + AI" mode, and with the help of Low-Rank Adaptation of Large Language Models under the Stable Diffusion Architecture. The packaging design patterns following the digital technology of the new era and driving the intangible culture of live transmission were generated, realizing the innovative design exploration of Hunan local product packaging. Based on the Stable Diffusion technology in the mode of "Intangible Cultural Heritage + AI", the Tahu Flower Chiseling in Luxi is transformed in an innovative way and applied in the package design of Hunan local product Yueyang King Pigeon, which not only revitalizes the expression form of traditional handicrafts, but also innovates the packaging design of local products, providing a new path for the organic fusion of other intangible cultural elements and product packaging.

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Diffusion) model

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JI Xianghong, XIA Yuzi. + AI"[J]. Packaging Engineering. 2024, 45(16): 301-312 https://doi.org/10.19554/j.cnki.1001-3563.2024.16.030
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