A Study on Character Design Creation of Traditional Chinese Images Using Generative Artificial Intelligence : Focusing on Dunhuang Tang Dynasty's “Flying Fairy” Images via MidJourney

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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Publication Details

Journal
korea soc pub des
Published
2024-12-31
DOI
https://doi.org/10.54545/kspd.2024.12.70
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on Character Design Creation of Traditional Chinese Images Using Generative Artificial Intelligence : Focusing on Dunhuang Tang Dynasty's “Flying Fairy” Images via MidJourney

Chen Chen, Ji-Sung Song
korea soc pub des
Diverse Topics in Contemporary Research
article

A Study on Character Design Creation of Traditional Chinese Images Using Generative Artificial Intelligence : Focusing on Dunhuang Tang Dynasty's “Flying Fairy” Images via MidJourney

Chen Chen, Ji-Sung Song
article en

Abstract

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.

korea soc pub desVol. 12
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Diverse Topics in Contemporary Research
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A Study on Character Design Creation of Traditional Chinese Images Using Generative Artificial Intelligence : Focusing on Dunhuang Tang Dynasty's “Flying Fairy” Images via MidJourney — Chen Chen, Ji-Sung Song · korea soc pub des (2024) | TGRS Research Map | TGRS