XR中的辐射场:辐射场在XR研究中的构想与应用综述
Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned and Addressed for XR Research
August 6, 2025
作者: Ke Li, Mana Masuda, Susanne Schmidt, Shohei Mori
cs.AI
摘要
辐射场(RF)技术的发展,如3D高斯泼溅(3DGS)和神经辐射场(NeRF),已彻底改变了交互式照片级真实感视图合成,为扩展现实(XR)研究与应用带来了巨大机遇。然而,尽管RF研究呈指数级增长,其对XR领域的贡献仍显不足。为深入理解这一研究空白,我们对当前RF文献进行了系统性调研,旨在分析:(一)RF如何被设想用于XR应用,(二)它们已如何被实际应用,以及(三)尚存的研究空白。我们从计算机视觉、计算机图形学、机器人学、多媒体、人机交互及XR社区中收集了365篇与XR相关的RF研究成果,试图解答上述研究问题。在这365篇论文中,我们重点分析了66篇已深入探讨RF在XR中具体应用细节的文献。通过本次调研,我们不仅拓展并定位了XR特有的RF研究主题于更广阔的RF研究领域之中,还为XR社区在RF研究快速发展中导航提供了宝贵的资源指南。
English
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.