A Study on The Application of Generative Digital Art in Song and Jin Dynasty Opera Brick Carvings in Shanxi
Year: 2025
Type: article
Abstract: 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: Huimin Zhang, Huiwen Xia, Xiaodan Liu
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408505456