计算机科学
背景(考古学)
生成语法
内容(测量理论)
人机交互
数据科学
多媒体
人工智能
数学
生物
数学分析
古生物学
作者
Emiliano Santarnecchi,Emanuele Balloni,Marina Paolanti,Emanuele Frontoni,Lorenzo Stacchio,Primo Zingaretti,Roberto Pierdicca
标识
DOI:10.1109/tvcg.2025.3549160
摘要
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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