Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned and Addressed for XR Research.

IF 6.5
Ke Li, Mana Masuda, Susanne Schmidt, Shohei Mori
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Abstract

The development of radiance fields (RF), such as 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), has revolutionized interactive photorealistic view synthesis and presents enormous opportunities for XR research and applications. However, despite the exponential growth of RF research, RF-related contributions to the XR community remain sparse. To better understand this research gap, we performed a systematic survey of current RF literature to analyze (i) how RF is envisioned for XR applications, (ii) how they have already been implemented, and (iii) the remaining research gaps. We collected 365 RF contributions related to XR from computer vision, computer graphics, robotics, multimedia, human-computer interaction, and XR communities, seeking to answer the above research questions. Among the 365 papers, we performed an analysis of 66 papers that already addressed a detailed aspect of RF research for XR. With this survey, we extended and positioned XR-specific RF research topics in the broader RF research field and provide a helpful resource for the XR community to navigate within the rapid development of RF research.

XR中的辐射场:XR研究中如何设想和处理辐射场的综述。
辐射场(RF)的发展,如3D高斯喷射(3DGS)和神经辐射场(NeRF),已经彻底改变了交互式逼真视图合成,并为XR研究和应用提供了巨大的机会。然而,尽管RF研究呈指数级增长,但与RF相关的对XR社区的贡献仍然很少。为了更好地理解这一研究差距,我们对当前射频文献进行了系统调查,以分析(i)射频是如何用于XR应用的,(ii)它们是如何实现的,以及(iii)剩余的研究差距。我们从计算机视觉、计算机图形学、机器人技术、多媒体、人机交互和XR社区收集了365个与XR相关的RF贡献,试图回答上述研究问题。在365篇论文中,我们对66篇论文进行了分析,这些论文已经详细介绍了XR射频研究的各个方面。通过这项调查,我们在更广泛的RF研究领域扩展和定位了特定于XR的RF研究主题,并为XR社区在RF研究的快速发展中导航提供了有用的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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