Adaptive Multi‐view Radiance Caching for Heterogeneous Participating Media

Abstract Achieving lifelike atmospheric effects, such as fog, is essential in creating immersive environments and poses a formidable challenge in real‐time rendering. Highly realistic rendering of complex lighting interacting with dynamic fog can be very resource‐intensive, due to light bouncing through a complex participating media multiple times. We propose an approach that uses a multi‐layered spherical harmonics probe grid to share computations temporarily. In addition, this world‐space storage enables the sharing of radiance data between multiple viewers. In the context of cloud rendering this means faster rendering and a significant enhancement in overall rendering quality with efficient resource utilization.

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Publication Details

Journal
Computer Graphics Forum
Published
2025-04-18
DOI
https://doi.org/10.1111/cgf.70051
Citations
2
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
7.08
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article

Adaptive Multi‐view Radiance Caching for Heterogeneous Participating Media

Joerg H. Mueller, Markus Steinberger, Pascal Stadlbauer, Martin Winter et al.
2 citations
Computer Graphics Forum
Computer Graphics and Visualization Techniques
7.08
article

Adaptive Multi‐view Radiance Caching for Heterogeneous Participating Media

Joerg H. Mueller, Markus Steinberger, Pascal Stadlbauer, Martin Winter, Alexander Weinrauch, Wolfgang Tatzgern, Radovan Stojanović
article en
2 citations

Abstract

Abstract Achieving lifelike atmospheric effects, such as fog, is essential in creating immersive environments and poses a formidable challenge in real‐time rendering. Highly realistic rendering of complex lighting interacting with dynamic fog can be very resource‐intensive, due to light bouncing through a complex participating media multiple times. We propose an approach that uses a multi‐layered spherical harmonics probe grid to share computations temporarily. In addition, this world‐space storage enables the sharing of radiance data between multiple viewers. In the context of cloud rendering this means faster rendering and a significant enhancement in overall rendering quality with efficient resource utilization.

Computer Graphics ForumVol. 44(2)
Graz University of Technology (AT)
Openalex Percentile: Top 4%
Computer Graphics and Visualization Techniques
7.08
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Adaptive Multi‐view Radiance Caching for Heterogeneous Participating Media — Joerg H. Mueller, Markus Steinberger, et al. · Computer Graphics Forum (2025) | TGRS Research Map | TGRS