性格(数学)
生成语法
人工智能
视觉艺术
计算机科学
艺术
数学
几何学
作者
Chen Chen,Ji-Sung Song
标识
DOI:10.54545/kspd.2024.12.70
摘要
This study promotes the innovative development of Chinese traditional culture by designing cultural characters based on the Tang Dynasty “Flying Apsaras” from Dunhuang murals using the generative artificial intelligence (AIGC) tool MidJourney v6.1. It addresses the challenges of monotonous dissemination methods and disconnection from younger generations by focusing on Generation Z, a key IP consumer group, to explore how AIGC can align with their modern aesthetic preferences and enhance cultural appeal. Research methods include case analysis to examine MidJourney's advantages, literature review to organize Dunhuang's visual elements, experimental design to create character images, and survey with SPSS data analysis to validate effectiveness. Results show that MidJourney effectively extracts Dunhuang mural elements, creating designs that blend traditional values with modern aesthetics while meeting Generation Z's preferences. However, cultural detail expression requires further optimization. The study highlights AIGC's potential to advance traditional culture preservation and dissemination through digital innovation.
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