XR中的輻射場:探討輻射場在XR研究中的構想與應用
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
輻射場(Radiance Fields, RF)的發展,例如3D高斯潑濺(3D Gaussian Splatting, 3DGS)和神經輻射場(Neural Radiance Fields, NeRF),已經徹底改變了互動式照片級真實感視圖合成,並為擴展現實(XR)研究與應用帶來了巨大的機遇。然而,儘管RF研究呈指數級增長,其對XR社群的貢獻仍然稀少。為更好地理解這一研究缺口,我們對當前RF文獻進行了系統性調查,旨在分析:(i) RF如何被設想用於XR應用,(ii) 它們已經如何被實現,以及(iii) 尚存的研究缺口。我們從計算機視覺、計算機圖形學、機器人學、多媒體、人機交互及XR社群中收集了365篇與XR相關的RF貢獻,試圖回答上述研究問題。在這365篇論文中,我們對其中66篇已詳細探討RF在XR中具體應用的論文進行了分析。通過此次調查,我們在更廣泛的RF研究領域中延伸並定位了XR專屬的RF研究主題,並為XR社群在RF研究的快速發展中提供了一份有助於導航的資源。
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.