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基于AIGC的西夏文化元素提炼及混合现实数字人互动设计
徐晨雨1,祁悦2,郭瀚之4,潘怡丹4,包仪华1,4,翁冬冬1,4,3
1.北京市混合现实与新型显示工程技术中心,北京 100081;2.北京理工大学 设计学院,北京 100081;4.北京理工大学 光电学院,北京 100081;3.北京理工大学郑州智能科技研究院,郑州 450003
摘要:
目的 探索西夏文化元素在当代数字技术中的创新应用,提升用户的互动体验,构建新的传统文化数字化传播体系,设计创新性的互动展示流程。方法 运用深度学习技术提取西夏传统视觉元素,借助AIGC技术进行数据处理,训练出符合西夏文化特征的LoRA模型,进而生成新素材,融入大佛寺数字人形象设计,搭建基于三维实时渲染的高逼真数字人互动装置。同时,对AIGC应用于传统文化数字IP生产的管线进行整理和完善。结果 成功生成包括纹样、服装、配饰等在内的新素材,并将其融入数字人形象设计中,结合DeepFake技术打造出数字人互动装置。结论 本文提出了一种新的传统文化保留、传播方法,有助于指导传统数字文化IP设计,激起年轻群体的文化共鸣,为传统文化的数字化传承与传播提供了有效路径。通过生成新素材和创新互动装置,显著提升了用户的互动体验,也证明了AIGC 技术在传统文化创新应用方面的巨大潜力和价值。
关键词:  生成式人工智能  西夏文化  数字IP  互动展示  设计与传播
DOI:10.19554/j.cnki.1001-3563.2024.20.005
分类号:
基金项目:国家重点研发计划项目(2022YFF0902303);长沙市2022年科技重大专项(kh2301019);北京理工大学科技创新计划科研基地科技支撑专项计划(2024CX02056)
AIGC-based Western Xia Cultural Element Extraction and Mixed Reality Digital Human Interaction Design
XU Chenyu1, QI Yue2, GUO Hanzhi4, PAN Yidan4, BAO Yihua1,4, WENG Dongdong1,4,3
(1. Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing 100081, China;2.School of Design and Arts,Beijing 100081, China;4. School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China;3. Zhengzhou Academy of Intelligent Technology of Beijing Institute of Technology, Zhengzhou 450003, China)
Abstract:
The work aims to explore the innovative application of Western Xia cultural elements in contemporary digital technology to enhance user interaction experiences, establish a new digital dissemination system for traditional culture, and design innovative interactive display processes. Deep learning techniques were employed to extract visual elements of Western Xia tradition, Artificial Intelligence Generated Content (AIGC) technology was adopted to process data and train a LoRA model aligning with the characteristics of Western Xia culture to generate new materials. These materials were integrated into the digital human design of the Great Buddha Temple, creating a highly realistic digital human interaction device based on real-time 3D rendering. Additionally, the pipeline of AIGC applied to traditional cultural digital IP production was organized and improved. New materials containing patterns, clothing, accessories, etc., were generated successfully and integrated into digital human design. Combined with DeepFake technology, a digital human interaction device was created. A new method is proposed for preserving and disseminating traditional culture, guiding traditional digital cultural IP design, evoking cultural resonance among different age groups, and providing an effective path for the digital inheritance and dissemination of traditional culture. By generating new materials and innovative interactive devices, user interaction experiences are significantly enhanced, demonstrating the immense potential and value of AIGC technology in innovative applications of traditional culture.
Key words:  Generative Artificial Intelligence  Western Xia Culture  digital IP  interactive exhibition  design and dissemination

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