GAN与Diffusion在传统纹样设计中的实验研究  

An experimental study on the application of GAN and Diffusion models in traditional pattern design

作　　者：李莉[1] 毛子晗 吕思奇 袁晨旭 彭玉旭[2] LI Li;MAO Zihan;L Siqi;YUAN Chenxu;PENG Yuxu(School of Design Art,Changsha University ofScience&Technology,Changsha 410114,China;School of Computer and Communication Engineering,Changsha University ofScience&Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学设计艺术学院,长沙410114 [2]长沙理工大学计算机与通信工程学院,长沙410114

出　　处：《丝绸》2024年第8期9-22,共14页Journal of Silk

基　　金：教育部人文社会科学研究规划基金项目(22YJA760038);长沙理工大学研究生科研创新项目(CSLGCX23124)。

摘　　要：传统纹样是中国优秀传统文化的重要组成部分,传统人工设计已经无法满足纹样的现代设计需求,生成式AI为传统纹样设计提供了新的设计路径和方法。文章将生成式AI应用于传统纹样设计中,通过适配实验优选基于GAN的Style GAN和基于Diffusion的Stable Diffusion两种主流图像生成模型进行实验,采用技术分析与艺术分析相结合,对实验结果进行多角度、多维度对比分析,为设计师选择生成设计方法提供参照。实验结果表明,两个模型均能满足基本的艺术设计需求。Style GAN模型生成的纹样图像更接近真实图像的分布,具有更高的图像质量和多样性;Stable Diffusion模型能较好地传承传统纹样的基因,艺术性与创造性兼具,更加符合传统纹样的艺术设计需求。Traditional patterns come as one of the vital components of China’s rich cultural heritage,embodying the wisdom and aesthetic memory of China.These patterns have been extensively used in various design fields.Artists and designers can draw nourishment and inspiration from the beautiful graphic decorations,the rich implications of forms,and the unique pattern designs.However,traditional manual design methods can no longer meet the diverse and efficient demands of the modern pattern design.Current research on computer-aided pattern design primarily focuses on traditional methods and generative AI approaches.Traditional methods mainly generate new patterns by simulating image morphological features and quantifying image organizational characteristics.Generative AI methods,on the other hand,use deep neural networks for transfer learning to simulate the distribution of image data,thus creating new pattern images and offering new paths and methods for traditional pattern design.While there is already a certain foundational body of research on the generative design of traditional patterns,there are still issues in the field of generative technology application research.These include a lack of research from the perspective of universal generative design of traditional patterns,neglect of the cultural and artistic foundations of these patterns,insufficient attention to the practical application needs of generated patterns,and a lack of comprehensive evaluation of generated patterns.To facilitate deep co-creation between designers and AI,this paper explores the potential and application of image generation models in the innovative design of traditional patterns from an artistic design perspective.Four mainstream image generation models were initially selected through preliminary experiments on traditional pattern generation.Among these,StyleGAN(based on GAN)and Stable Diffusion(based on Diffusion)were chosen for further experimentation.The technical aspects of the datasets,training processes,and model parameters were ana

关 键 词：GAN DIFFUSION 传统纹样 评价指标 对比分析 实验研究 

分 类 号：TS941.26[轻工技术与工程—服装设计与工程]