Reimagining mythological landscapes: leveraging AIGC to visualize the Classic of Mountains and Seas (Shan Hai Jing).

This study explores the application of AIGC technology, using ChatGPT-4 and MidJourney 6.0 as primary tools to design and generate visual imagery based on the Chinese mythological anthology, the Classic of Mountains and Seas (Shan Hai Jing). Through a systematic experimental design, this study estab...

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Publicado en:Digital Scholarship in the Humanities Vol. 41; no. 2; pp. 1119 - 1138
Autores principales: Zhao, Ziyun, Song, Jisung
Formato: Artículo
Publicado: Oxford University Press / USA Jun2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2026
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        atl: Reimagining mythological landscapes: leveraging AIGC to visualize the Classic of Mountains and Seas (Shan Hai Jing).
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        au:
          Zhao, Ziyun
          Song, Jisung
        affil:
          College of Design, Hanyang University, Seoul 04763, Republic of Korea
          College of Design, Hanyang University ERICA, Ansan 15588, Republic of Korea
      su:
        Generative artificial intelligence
        ChatGPT
        Human-artificial intelligence interaction
      sug:
        subj:
          Generative artificial intelligence
          ChatGPT
          Human-artificial intelligence interaction
      ab: This study explores the application of AIGC technology, using ChatGPT-4 and MidJourney 6.0 as primary tools to design and generate visual imagery based on the Chinese mythological anthology, the Classic of Mountains and Seas (Shan Hai Jing). Through a systematic experimental design, this study established a bidirectional human–AI collaborative mechanism between ChatGPT and MidJourney, forming a standardized generative workflow. The results demonstrate that ChatGPT-4 and MidJourney 6.0 can produce highly realistic and artistically expressive visual images, faithfully reproducing the iconic elements of the Classic of Mountains and Seas. Moreover, through quality control measures such as prompt weight adjustment, parameter optimization, and multiple iterations, this study transformed image quality management from post-correction to process optimization. However, limitations persist in processing complex mythological texts and intricate details, requiring designer intervention to enhance accuracy. This study highlights the potential of AIGC in mythological art creation and offers new avenues for the modern expression of traditional culture.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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