A Study on The Application of Generative Digital Art in Song and Jin Dynasty Opera Brick Carvings in Shanxi
This study aims to explore the digital dissemination pathways and cultural heritage approaches of Song and Jin Dynasty opera brick carvings in Shanxi. By leveraging theories related to generative digital art, a design model for applying digital generative art to the imagery of Shanxi’s Song and Jin opera brick carvings is constructed. This model serves as a foundation for analysis through historical textual verification, image analysis, and symbolic interpretation methods, ensuring fidelity in restoration. During the composition phase, primary images are selected, thematic symbols are extracted, and visualization tools such as the visual programming software Touch Designer are employed. This approach integrates musical instruments, narration, and textual information to achieve an audiovisual synthesis, presenting the visual effects of generative digital art. The application of digital art expression enables the assimilation and effective utilization of the ideological concepts and artistic symbols embedded in Shanxi's Song and Jin opera brick carving culture. This approach bridges the gap between disseminators and audiences, alleviating ambiguity and resistance in understanding cultural content, fostering new conceptual thinking, and inspiring innovative digital design for Shanxi's Song and Jin opera brick carvings in the context of intelligent interaction.
Authors
- Hua Xia (ORCID: https://orcid.org/0000-0002-3912-4727)
- Xiaodan Liu (ORCID: https://orcid.org/0000-0002-0745-1774)
- Huimin Zhang (ORCID: https://orcid.org/0000-0002-7343-5641)
Institutions
- Huzhou Normal University (CN)
- Jinzhong University (CN)
- Zhejiang University (CN)
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- International Theory and Practice in Humanities and Social Sciences
- Published
- 2025-03-17
- DOI
- https://doi.org/10.70693/itphss.v2i3.273
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.00