Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned
  and Addressed for XR Research
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.
68a43b91b65388761d074602
Ke Li
claimed_verified
2025-08-19T15:58:49.505Z
67b1cf0b8a1b0f0b4880e56f
/avatars/bdaa4d9cd2280ceccc84c24a5ba1b5b4.svg
Ke Li
user
cocolinux
68a43b91b65388761d074603
Mana Masuda
68a43b91b65388761d074604
Susanne Schmidt
68a43b91b65388761d074605
Shohei Mori
claimed_verified
2025-08-20T08:52:30.542Z
6613fa91e8dcce192f969c95
/avatars/72951ae850bbb31611627dc23e778fff.svg
Shohei Mori
user
Mugichoko445
Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned
  and Addressed for XR Research
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.
A systematic survey of radiance fields in XR applications identifies implementation details, research gaps, and future directions within the broader RF research field.
radiance fields 3D Gaussian Splatting Neural Radiance Fields XR computer vision computer graphics robotics multimedia human-computer interaction