基于人工智能生成内容(AIGC)图像扩散模型的清代佩饰活化传承方法研究

Revitalization and Inheritance Methods of Qing Dynasty Adornments Based on Artificial Intelligence Generated Content (AIGC) Image Diffusion Model

  • 摘要: 清代佩饰作为中国几千年来文化沉淀的历史符号,具有深厚的文化底蕴和历史价值。本研究基于人工智能生成内容(AIGC)技术,借助低秩适应模型(LoRA)以及稳定扩散模型(Stable Diffusion)等图像生成模型,深入挖掘并复原清代佩饰的丰富内涵。通过数字化技术对复杂材质和工艺的清代佩饰进行科学表征与数字模型构建,结合出土首饰文物实物和文献资料,为已损坏或无法技术提取的珍贵佩饰文物提供虚拟展示与活化传承方法,探索了清代佩饰在现代社会中的新角色,推动新中式佩饰系统的发展,引领文物文化遗产的活化利用进入数字化时代。

     

    Abstract: Ancient Chinese adornments, as cultural symbols spanning millennia, possess profound cultural depth and historical value. This study leverages artificial intelligence generated content (AIGC) technology, utilizing image diffusion models such as LoRA and Stable Diffusion, to deeply excavate and restore the rich essence of ancient Chinese adornments. Through digital technology, the study scientifically characterizes and constructs digital models of Qing Dynasty adornments with complex materials and craftsmanship. By combining actual cultural relics and documentary evidence, the research provides virtual display and revitalization methods for precious adornments that have been damaged or are technically inaccessible. Additionally, the study explores the new roles of ancient adornments in modern society, promoting the development of a new Chinese-style adornment system and leading the activation and utilization of cultural heritage into the digital age.

     

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