目的 旨在探讨AIGC技术在传统文化现代活化中的应用,以脑阁IP形象为例,分析其在文化数字传承中的潜力。方法 首先,通过深度学习提取脑阁IP形象的传统视觉元素,结合AIGC进行数据处理;其次,训练LoRA模型生成符合脑阁造型特征的纹样、形体及配饰素材;最后,将生成素材融入创新设计,推动传统IP形象的数字化再现。结果 通过对脑阁样本的分类归纳、图像标注与LoRA模型训练,成功学习并理解脑阁IP形象的独特风格,生成具有文化特色的创新设计。结论 AIGC技术为民族IP形象的创新设计和文化传承提供有力支持,促进了传统文化在数字时代的延续与活化。该技术为民族文化的数字化传承开辟新的可能性,推动了文化的创造性转化与发展。
Abstract
The work aims to explore the application of AIGC technology in the modern activation of traditional culture, and analyze its potential in cultural digital inheritance with the Naoge IP image as an example. Firstly, traditional visual elements of the Naoge IP image were extracted by deep learning, and the data were processed by combining with AIGC. Secondly, the LoRA model was trained to generate patterns, shapes and accessories that conformed to the modeling characteristics of Naoge. Finally, the generated material was integrated into the innovative design to promote the digital reproduction of the traditional IP image. Results showed that through the classification and induction of Naoge samples, image annotation and Lora model training, the unique style of the Naoge IP image was successfully learned and understood, and innovative designs with cultural characteristics were generated. In conclusion, AIGC technology provides strong support for the innovative design and cultural inheritance of national IP images, and promotes the continuation and activation of traditional culture in the digital age. This technology opens up new possibilities for the digital inheritance of national culture and promotes the creative transformation and development of culture.
关键词
视觉传达与媒体设计 /
生成式人工智能（AIGC） /
脑阁 /
IP设计 /
数智模型
Key words
visual communication and media design /
Artificial Intelligence Generated Content (AIGC) /
Naoge /
IP design /
digital intelligence model
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基金
2023年内蒙古自治区哲学社会科学规划项目（2023ZZB070）
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