Search

Impact Reconstruction and Future Opportunities of AI-Generated Technology in Multimedia Image Content Design for Stage Plays

Author(s)

Siyu Li

Affiliation(s)

Department of Digital Media Arts, Xi'an Eurasia University, Xi'an, Shaanxi, China

Abstract

Under the background of the national cultural digitalization strategy, AIGC has comprehensively intervened in stage play creation, driving a revolution in visual art paradigms. With stage multimedia image design as the core, this paper analyzes the mechanism of AIGC and its practical ethical challenges from three dimensions: production process, visual expression, and creative subjectivity. The research finds that AIGC, as a structural tool, optimizes the creative ecology and assists in the digital upgrading of stage art. The study points out that while AIGC enhances the creative environment through its instrumental attributes, it is only by adhering to the artistic core, balancing technology and humanity, and improving copyright regulations that the symbiotic integration of both can be achieved, thereby empowering the high-quality development of digital stage art.

Keywords

AI-Generated Content; Stage Plays; Multimedia Imagery; Scenography; Human–Machine Collaboration; Digital Performance

References

[1] Dixon, S. (2007). Digital Performance: A History of New Media in Theater, Dance, Performance Art, and Installation. MIT Press, 2007. [2] Auslander, P. Liveness: Performance in a Mediatized Culture. Routledge, 2008. [3] Zhang, Y., & Li, M. Visual mediation and spatial narrative in contemporary stage multimedia design. Theatre and Performance Research, 2024, 47(3): 211–228. [4] Zylinska, J. AI Art: Machine Visions and Warped Dreams. Open Humanities Press, 2020. [5] Boussema, C., et al. Generative media pipelines for immersive participatory theater. Proceedings of the AAAI Conference on AI in Interactive Digital Entertainment, 2025, 21(1): 45–52. [6] WANG Z X, LUAN S Y. Design and implementation of stage image creation tools assisted by AIGC. Development Education, 2025, 6(10): 45-52. [7] XU H S, WANG Z Y, ZHANG H Z. The transformation of image production mode empowered by large AI models. TV Research, 2024 (5): 12-15. [8] Pike S. Artificial intelligence and natural stupidity: a reflection on using augmented reality effects in live performance. International Journal of Performance Arts and Digital Media, 2025, 21(2): 260-283. [9] Crawford, K. The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press, 2021. [10]Salter, C. Entangled: Technology and the Transformation of Performance. MIT Press, 2010