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DTSTAMP:20250110T023312Z
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:Technical Papers\n\nKehan Xu (ETH Zürich); Sebastian Herholz (
 Intel Corporation); Marco Manzi and Marios Papas (DisneyResearch|Studios);
  and Markus Gross (DisneyResearch|Studios, ETH Zürich)\n\nSimulating the l
 ight transport of volumetric effects poses significant challenges and cost
 s, especially in the presence of heterogeneous volumes. Generating stochas
 tic paths for volume rendering involves multiple decisions, and previous w
 orks mainly focused on directional and distance sampling, where the volume
  scattering probability (VSP), i.e., the probability of scattering inside 
 a volume, is indirectly determined as a byproduct of distance sampling. We
  demonstrate that direct control over the VSP can significantly improve ef
 ficiency and present an unbiased volume rendering algorithm based on an ex
 isting resampling framework for precise control over the VSP. Compared to 
 the previous state-of-the-art, which can only increase the VSP without gua
 ranteeing to reach the 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 sce
 ne without the need for user control.\nOur approach can easily be combined
  with existing path-guiding methods for directional sampling at minimal ov
 erhead and shows significant improvements over the state-of-the-art in var
 ious complex volumetric lighting scenarios.\n\nRegistration Category: Full
  Access, Full Access Supporter\n\nLanguage Format: English Language\n\nSes
 sion Chair: Michael Wimmer (TU Wien)
URL:https://asia.siggraph.org/2024/program/?id=papers_980&sess=sess110
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