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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171536Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241203T164100
DTEND;TZID=Asia/Tokyo:20241203T165300
UID:siggraphasia_SIGGRAPH Asia 2024_sess110_papers_980@linklings.com
SUMMARY:Volume Scattering Probability Guiding
DESCRIPTION:Kehan Xu (ETH Zürich); Sebastian Herholz (Intel Corporation); 
 Marco Manzi and Marios Papas (DisneyResearch|Studios); and Markus Gross (D
 isneyResearch|Studios, ETH Zürich)\n\nSimulating the light transport of vo
 lumetric effects poses significant challenges and costs, especially in the
  presence of heterogeneous volumes. Generating stochastic paths for volume
  rendering involves multiple decisions, and previous works mainly focused 
 on directional and distance sampling, where the volume scattering probabil
 ity (VSP), i.e., the probability of scattering inside a volume, is indirec
 tly determined as a byproduct of distance sampling. We demonstrate that di
 rect control over the VSP can significantly improve efficiency and present
  an unbiased volume rendering algorithm based on an existing resampling fr
 amework for precise control over the VSP. Compared to the previous state-o
 f-the-art, which can only increase the VSP without guaranteeing to reach t
 he desired value, our method also supports decreasing the VSP. We further 
 present a data-driven guiding framework to efficiently learn and query an 
 approximation of the optimal VSP everywhere in the scene without the need 
 for user control.\nOur approach can easily be combined with existing path-
 guiding methods for directional sampling at minimal overhead and shows sig
 nificant improvements over the state-of-the-art in various complex volumet
 ric lighting scenarios.\n\nRegistration Category: Full Access, Full Access
  Supporter\n\nLanguage Format: English Language\n\nSession Chair: Michael 
 Wimmer (TU Wien, Technische Universität Wien (TU Wien))\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_980&sess=sess110
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