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生成式AI在民族纹样设计中的实验研究

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基于生成式人工智能(AI)的民族纹样设计实验研究,旨在为艺术设计师拓展纹样设计方法,促进纹样艺术的传承与发展.优选Stable Diffusion和触手AI两种AI生成技术进行实验与比较,采用定性与定量相结合的分析方法对实验结果进行综合评价.实验结果表明,Stable Diffusion生成的纹样能较好地传承民族纹样的基因,艺术性与创造性兼具,符合民族纹样的艺术设计需求,但图像质量较低;触手AI生成的纹样创新性较好、图像质量高,但容易偏离原始纹样,不能满足艺术设计的内容需求.实验有助于生成式AI深度应用在民族纹样等传统纹样设计中,推动传统纹样的现代设计转化.
Experimental Research of Generative AI in Ethnic Pattern Design
Experimental research on national pattern design based on generative artificial intelligence(AI)is carried out to expand the pattern design method for art designers and promote the inheritance and development of pattern art.Two AI generation technologies,Stable Diffusion and Tentacle AI,are selected for experiments and comparison,and the qualitative and quantitative analysis method is used to comprehensively evaluate the experimental results.Experimental results show that the patterns generated by Stable Diffusion can better inherit the genes of national patterns,and have both artistically and creatively.It meets the needs of the art design of national patterns,but the image quality is low.The pattern generated by Tentacle AI has good innovation and high image quality,but it is easy to deviate from the original pattern,which cannot meet the content needs of art design.The experiment is helpful for the deep application of generative AI in the design of traditional patterns such as national patterns,and promotes the modern design transformation of traditional patterns.

generative AInational patterntext generated imageevaluation indexdesign methodcomparative study

李莉、毛子晗、吕思奇、袁晨旭

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长沙理工大学设计艺术学院,长沙 410114

生成式AI 民族纹样 文本生成图像 评价指标 设计方法 对比研究

教育部人文社会科学研究规划基金项目长沙理工大学研究生科研创新项目

22YJA760038CSLGCX23124

2024

实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
年,卷(期):2024.43(9)