MineVRA: Exploring the Role of Generative AI-Driven Content Development in XR Environments through a Context-Aware Approach

Lorenzo Stacchio;Emanuele Balloni;Emanuele Frontoni;Marina Paolanti;Primo Zingaretti;Roberto Pierdicca
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Abstract

The convergence of Artificial Intelligence (AI), Computer Vision (CV), Computer Graphics (CG), and Extended Reality (XR) is driving innovation in immersive environments. A key challenge in these environments is the creation of personalized 3D assets, traditionally achieved through manual modeling, a time-consuming process that often fails to meet individual user needs. More recently, Generative AI (GenAI) has emerged as a promising solution for automated, context-aware content generation. In this paper, we present MineVRA (Multimodal generative artificial iNtelligence for contExt-aware Virtual Reality Assets), a novel Human-In-The-Loop (HITL) XR framework that integrates GenAI to facilitate coherent and adaptive 3D content generation in immersive scenarios. To evaluate the effectiveness of this approach, we conducted a comparative user study analyzing the performance and user satisfaction of GenAI-generated 3D objects compared to those generated by Sketchfab in different immersive contexts. The results suggest that GenAI can significantly complement traditional 3D asset libraries, with valuable design implications for the development of human-centered XR environments.
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MineVRA:通过情境感知方法探索 XR 环境中生成式人工智能驱动内容开发的作用。
人工智能(AI)、计算机视觉(CV)、计算机图形学(CG)和扩展现实(XR)的融合正在推动沉浸式环境的创新。这些环境中的一个关键挑战是创建个性化的3D资产,传统上是通过手动建模实现的,这是一个耗时的过程,通常无法满足个人用户的需求。最近,生成式人工智能(GenAI)已经成为自动化,上下文感知内容生成的有前途的解决方案。在本文中,我们提出了MineVRA(用于上下文感知虚拟现实资产的多模态生成人工智能),这是一种新颖的人在环(HITL) XR框架,它集成了GenAI,以促进沉浸式场景中连贯和自适应的3D内容生成。为了评估这种方法的有效性,我们进行了一项比较用户研究,分析了genai生成的3D对象与Sketchfab在不同沉浸式环境下生成的3D对象的性能和用户满意度。结果表明,GenAI可以显著补充传统的3D资源库,对以人为中心的XR环境的开发具有重要的设计意义。
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