基于生成式人工智能的虚拟现实媒介内容生成

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[中图分类号] G237 [文献标识码] A [文章编号] 1009-5853（2026）02-0050-09

Content Generation of Virtual Reality Media Based on Generative Artificial Intelligence

Cao Weihang Cao Tianjie

（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）

[Abstract] This article explores the content generation characteristics and mechanisms of virtual reality media （VRM） driven by generative artificial intelligence （GenAI）. The article identifies four features of VRM empowered by GenAI： first， it enhances content creation efficiency through automated generation technology; second， it supports diverse sensory experiences; third， it leverages user data analysis to achieve personalized adaptation of virtual environments; and fourth， it 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 data， dynamic consistency between virtual environments and the physical world， and optimization of immersion through multimodal information fusion. To systematically address these requirements， a content generation quadrupole mechanism model is proposed， centered 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

1 引言

虚拟现实作为叙事媒介，形成了一种融合技术、空间与交互的叙事范式。（剩余12858字）