AIGC-driven IP-oriented Translation Design of Traditional Patterns Based on AHP-TOPSIS

ZHU Peilin; YANG Fangchao

doi:10.19554/j.cnki.1001-3563.2026.08.015

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (8) : 176-186. DOI: 10.19554/j.cnki.1001-3563.2026.08.015

Industrial Design

AIGC-driven IP-oriented Translation Design of Traditional Patterns Based on AHP-TOPSIS

ZHU Peilin¹, YANG Fangchao^2*

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Abstract

The work aims to construct an AIGC-driven IP-oriented innovative design path and establish the corresponding quantitative evaluation system to address the issues of over-reliance on subjective experience and the lack of scientific optimization criteria in the contemporary adaptation of traditional auspicious patterns. Firstly, the visual, chromatic, and semantic genes of traditional patterns were systematically deconstructed. Secondly, multiple design drafts were generated by combining LoRA model fine-tuning and prompt engineering. Finally, an AHP-TOPSIS comprehensive evaluation model was introduced to construct an evaluation system that included four criterion dimensions: cultural translatability, visual innovation, technical feasibility and market potential. At the same time, objective technical indicators such as FID and cosine similarity were integrated to optimize the generated schemes. Using the "Yilu Lianke" (Continuous Success) pattern as a case study, the method successfully generated and identified the top-performing IP images, with a TOPSIS relative closeness score of 0.840. Objective technical metrics demonstrated that the generated designs achieved high stylistic consistency (cosine similarity of 0.92) and significantly improved generation quality (Fréchet Inception Distance score reduced from 35.6 to 18.5). The integrated AIGC work flow developed in this study provides an efficient and scientifically grounded methodology for the digital IP design of traditional auspicious patterns, offering valuable insights for cultural and creative product development and brand packaging design practices.

Key words

AI-generated content (AIGC) / IP-oriented design / cultural translation / human-AI co-creation / traditional auspicious patterns / packaging design

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ZHU Peilin, YANG Fangchao. AIGC-driven IP-oriented Translation Design of Traditional Patterns Based on AHP-TOPSIS[J]. Packaging Engineering. 2026, 47(8): 176-186 https://doi.org/10.19554/j.cnki.1001-3563.2026.08.015

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