目的 针对传统吉祥纹样在当代转化过程中过度依赖主观经验、缺乏科学优选标准的问题,构建一套AIGC驱动的IP化创新设计路径并建立相应的量化评估体系。方法 首先,系统解构传统纹样的视觉、色彩与寓意基因;其次,结合LoRA模型微调与提示词（Prompt）工程,生成多方案初稿;最后,引入AHP-TOPSIS综合评价模型,构建了一个包含文化转译度、视觉创新性、技术实现度与市场潜力4个准则层的评估体系,同时融合了FID、余弦相似度等客观技术指标,对生成方案进行优选。结果 以“一路连科”纹样为案例进行验证,成功生成并优选出综合表现最佳的IP形象,其TOPSIS相对贴近度为0.840。客观技术指标显示,生成方案的风格一致性（以余弦相似度度量）达到0.92,图像生成质量（以FID值度量）从基础模型的35.6显著优化至18.5。结论 本研究构建的AIGC一体化设计路径,为传统吉祥纹样的IP数字化设计提供了兼具效率与科学性的方法论支持,对文创产品开发及品牌包装设计实践具有重要的参考价值。
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.
关键词
生成式人工智能（AIGC） /
IP化设计 /
文化转译 /
人机共创 /
传统吉祥纹样 /
包装设计
Key words
AI-generated content (AIGC) /
IP-oriented design /
cultural translation /
human-AI co-creation /
traditional auspicious patterns /
packaging design
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 王艳. 论禅宗美学在现代设计中的创造性转化——评原研哉的《白》[J]. 江西社会科学, 2016, 36(11): 264.
WANG Y.On the Creative Transformation of Zen Aesthetics in Modern Design——A Review of Kenya Hara's "White"[J]. Jiangxi Social Sciences, 2016, 36(11): 264.
[2] 叶剑波, 赵慧亮. 基于AIGC技术的非遗设计应用研究[J]. 设计, 2025, 38(15): 26-29.
YE J, ZHAO H.Research on the Application of Intangible Cultural Heritage Design Based on AIGC Technology[J]. Design, 2025, 38(15): 26-29.
[3] 崔晓旭. 数智时代AI技术赋能非物质文化遗产传承的创新研究[J]. 天津职业院校联合学报, 2024, 26(12): 43-49.
CUI X X.Innovative Research on the Inheritance of Intangible Cultural Heritage Empowered by AI Technology in the Digital Intelligence Era[J]. Journal of Tianjin Vocational Institutes, 2024, 26(12): 43-49.
[4] 陈龙, 刘刚, 戚聿东, 等. 人工智能技术革命: 演进、影响和应对[J]. 国际经济评论, 2024(3): 9-51.
CHEN L, LIU G, QI Y D, et al.Artificial Intelligence Technology Revolution: Evolution, Impact and Response[J]. International Economic Review, 2024(3): 9-51.
[5] 雷圭元. 雷圭元图案艺术论[M]. 上海. 上海文化出版社, 2016: 168.
LEI G Y.On Pattern Art by LEI G[M]. Shanghai: Shanghai Culture Publishing House, 2016:168.
[6] 周飞. 论中国传统吉祥图案的现代设计价值[J]. 装饰, 2007(3): 105.
ZHOU F.On the Modern Design Value of Chinese Traditional Auspicious Patterns[J]. Decoration, 2007(3): 105.
[7] 邓焱, 李中扬. 民间吉祥图案在空间视觉设计中的应用探究[J]. 包装工程, 2014, 35(8): 125-129.
DENG Y, LI Z Y.Application of Folk Auspicious Patterns in Spatial Visual Design[J]. Packaging Engineering, 2014, 35(8): 125-129.
[8] 何荣. 特色小镇红色文化形象IP设计探讨——以东宣童话镇为例[J]. 装饰, 2021(8): 128-129.
HE R.Discussion on the IP Design of Red Cultural Image in Characteristic Towns——Taking Dongxuan Fairy Tale Town as an Example[J]. Decoration, 2021(8): 128-129.
[9] 路鹏, 唐建, 吴凡. 设计流程革新: 一种基于生成式人工智能的产品设计思维模型[J]. 艺术设计研究(中英文), 2025(1): 94-101.
LU P, TANG J, WU F.Innovation of Design Process: A Product Design Thinking Model Based on Generative Artificial Intelligence[J]. Art & Design Research(Chinese & English), 2025(1): 94-101.
[10] 淳于卜丹, 宋晓利. 期待视野下惠山泥人非物质文化遗产IP形象设计探究[J]. 工业工程设计, 2024, 6(6): 84-92.
CHUNYU B D, SONG X L.Research on IP Image Design of Huishan Clay Figure Intangible Cultural Heritage from the Perspective of Horizon of Expectations[J]. Industrial Engineering Design, 2024, 6(6): 84-92.
[11] 马婷, 徐燕. 基于传统吉祥文化的现代文创产品设计策略研究[J]. 美术教育研究, 2017(15): 68-69.
MA T, XU Y.Research on Modern Cultural and Creative Product Design Strategies Based on Traditional Auspicious Culture[J]. Art Education Research, 2017(15): 68-69.
[12] 赵妍, 魏志成. 谐音祈愿吉祥图案在现代设计中的变化与应用研究[J]. 设计, 2024, 37(5): 32-36.
ZHAO Y, WEI Z.Research on the Change and Application of Homophonic Praying Auspicious Patterns in Modern Design[J]. Design, 2024, 37(5): 32-36.
[13] 黄晗, 吴淑珍, 吴达愉. 人工智能在包装设计中的应用研究[J]. 上海包装, 2025(8): 33-36.
HUANG H, WU S Z, WU D Y.Research on the Application of Artificial Intelligence in Packaging Design[J]. Shanghai Packaging, 2025(8): 33-36.
[14] 孙茜, 戚炜丹. AIGC技术在包装设计中的应用与优化研究[J]. 印刷与数字媒体技术研究,2025(增刊2): 26-33.
SUN X, QI W D.Research on the Application and Optimization of AIGC Technology in Packaging Design[J]. Printing and Digital Media Technology Research, 2025(Sup2): 26-33.
[15] 刘璐, 王舒一. 以中国熊猫文化为核心的潮玩盲盒IP形象产品设计研究[J]. 包装工程, 2025, 46(8): 201-208.
LIU L, WANG S Y.Research on IP Image Product Design of Trendy Toy Blind Box with Chinese Panda Culture as the Core[J]. Packaging Engineering, 2025, 46(8): 201-208.
[16] 彭锋. 从设计到设计设计——关于人工智能时代设计的哲学思考[J]. 艺术设计研究, 2021, (1): 46-50.
PENG F.From Design to Meta-design: Philosophical Reflections on Design in the Age of Artificial Intelligence[J]. Art & Design Research, 2021, (1): 46-50.
[17] 凯文·凯利. 必然[M]. 周峰, 董理, 金阳, 译. 北京: 电子工业出版社, 2016.
KELLY K.The Inevitable[M]. Translated by ZHOU Feng, DONG Li, JIN Yang. Beijing: Publishing House of Electronics Industry, 2016.
[18] 维克多·J. 帕帕奈克. 为真实的世界设计[M]. 周博, 译. 北京: 北京日报出版社, 2020.
PAPPAS V J.Design for the Real World: Human Ecology and Social Change[M]. Translated by ZHOU Bo. Beijing: Beijing Daily Press, 2020.
[19] 马歇尔·麦克卢汉. 理解媒介: 论人的延伸[M]. 何道宽, 译. 南京: 译林出版社, 2019.
MCLUHAN M.Understanding Media: The Extensions of Man[M]. Translated by HE Dao-kuan. Nanjing: Yilin Press, 2019.
[20] 吴声. 超级IP: 互联网新物种方法论[M]. 北京: 中信出版社, 2010.
WU S.Super IP: Methodology of Internet New Species[M]. Beijing: CITIC Press, 2010.
[21] 丹尼尔·卡尼曼. 思考, 快与慢[M]. 李爱民, 何梦莹, 胡晓姣, 译. 北京: 中信出版社, 2012.
KAHNEMAN D.Thinking, Fast and Slow[M]. Translated by LI Ai-min, HE Meng-ying, HU Xiao-jiao. Beijing: CITIC Press, 2012.
[22] 保罗·兰德. 设计的意义: 保罗·兰德谈设计、形式与混沌[M]. 王娱瑶, 译. 长沙: 湖南文艺出版社, 2019.
RAND·P. The Meaning of Design: Paul Rand on Design, Form and Chaos[M]. Translated by WANG Yu-yao. Changsha: Hunan Literature and Art Publishing House, 2019.
[23] 卢兆麟, 宋新衡, 金昱成. AIGC技术趋势下智能设计的现状与发展[J]. 包装工程, 2023, 44(24): 18-33.
LU Z L, SONG X H, JIN Y C.Current Situation and Development of Intelligent Design under the Trend of AIGC Technology[J]. Packaging Engineering, 2023, 44(24): 18-33.
PDF(21638 KB)
渝公网安备 50010702501717号