Publishing Journal ›› 2026, Vol. 34 ›› Issue (2): 50-58.

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Content Generation of Virtual Reality Media Based on Generative Artificial Intelligence

  

  1. Faculty of Creative Industries, City University Malaysia, Kuala Lumpur, 46100)(School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, 221116
  • Received:2025-02-10 Revised:2026-01-12 Online:2026-05-08 Published:2026-05-08

Abstract:

This article explores the content generation characteristics and mechanisms of virtual reality media VRMdriven by generative artificial intelligence GenAI. The article identifies four features of VRM empowered by GenAI firstit enhances content creation efficiency through automated generation technology; secondit supports diverse sensory experiences; thirdit leverages user data analysis to achieve personalized adaptation of virtual environments; and fourthit ensures real-time and natural interaction between the virtual and physical worlds. The article reveals three core requirements for engineering implementation efficient collaborative generation of cross-modal datadynamic consistency between virtual environments and the physical worldand optimization of immersion through multimodal information fusion. To systematically address these requirementsa content generation quadrupole mechanism model is proposedcentered on cross-modal transformation - virtual-real mapping - physical simulation - multimodal information fusion. Finally, the article notes that VRM content generation for large-scale industrial applications still faces multidimensional challenges, including technology, ethics, regulations, and user experience.

Key words: Generative artificial intelligence Virtual reality media Modality alignment Digital twins Multimodal information fusion

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