生成式AI赋能非物质文化遗产再设计的探索与展望  

Exploration and Future Prospects of Generative AI Applications in the Redesign of Intangible Cultural Heritage

作　　者：肖雪锋[1] 陈思行 Xiao Xuefeng;Chen Sixing(School of Humanities,Xi’an Shiyou University,Xi’an 710065)

机构地区：[1]西安石油大学人文学院,西安710065

出　　处：《西部学刊》2025年第7期151-154,共4页Journal of Western

基　　金：2023年度陕西高等教育教学改革研究项目“非遗传承视域下高等继续教育设计类专业人才培养模式研究”(编号:23JY009)的阶段性成果。

摘　　要：近年来,生成式AI技术发展迅速并在艺术创作等领域得到了广泛的应用,中外学者对其进行了伦理等方面的讨论。生成对抗网络(GAN)是应用于计算机视觉、自然语言处理、人机交互等领域的一种算法,经过优化之后,形成了目前主流的生成式AI生成算法的核心,SD和MJ是当前得到广泛应用的两款主流生成式AI工具。生成式AI赋能非遗设计,能在一定程度上做到既满足非遗特色又贴合现代审美,将以周为计时单位的前期设计工作时间大幅度缩短。视频生成式AI工具的工作流程较为简单,容易吸引大众参与,从而极大地扩展了设计工作者的思路,使设计更具创意与多元化。展望未来,生成式AI为优化非遗再设计效率提供更多创新可能,设计师应与生成式AI建立协作关系,推进创意与文化的创新交融,但同时要考量相关的社会认知与法律责任。In recent years,generative AI technology has developed rapidly and has been widely applied in art creation and other fields,while Chinese and foreign scholars have discussed its ethical implications and other aspects.Generative Adversarial Network(GAN)is an algorithm applied in computer vision,natural language processing,human-computer interaction,etc.After optimization,it forms the core of the current mainstream generative AI algorithms,with Stable Diffusion(SD)and Midjourney(MJ)being the two mainstream generative AI tools widely used.Generative AI empowering intangible cultural heritage(ICH)design,can,to a certain extent,both retain the characteristics of ICH,and fit modern aesthetics,while significantly shorten the pre-design work that previously took weeks.The workflow of video generation AI tools is relatively simple and can attract public participation,thus greatly expanding designers’creativity and making designs more diverse.Looking ahead,generative AI provides more innovative possibilities for optimizing the efficiency of ICH redesign,and designers should establish a collaborative relationship with generative AI to promote the innovative integration of creativity and culture,while considering related social perceptions and legal responsibilities.

关 键 词：生成式人工智能 非物质文化遗产 视觉设计 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G122[自动化与计算机技术—控制科学与工程]