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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:20250110T023312Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T112700
DTEND;TZID=Asia/Tokyo:20241205T114100
UID:siggraphasia_SIGGRAPH Asia 2024_sess128_papers_600@linklings.com
SUMMARY:Efficient Image-Space Shape Splatting for Monte Carlo Rendering
DESCRIPTION:Technical Papers\n\nXiaochun Tong and Toshiya Hachisuka (Unive
 rsity of Waterloo)\n\nA typical Monte Carlo rendering method contributes o
 ne light path only to a single pixel at a time. Reusing light paths across
  multiple pixels, however, can amortize the cost and improve the efficienc
 y. The state of the art of path reuse is to employ shift mapping to reduce
  the cost of path reuse, while its computation cost is still proportional 
 to the number of pixels processed in shift mapping. We propose a general f
 ramework for efficiently reusing light paths to multiple pixels arranged i
 n arbitrary two-dimensional shapes. Our shape is defined as a set of multi
 ple pixels, and the framework allows us to reuse light paths among pixels 
 in a shape faster than simply evaluating all pixels via shift mapping. The
  key idea is to sparsely evaluate the contribution of shifted paths at ran
 dom pixels within the shape and interpolate the contribution to the other 
 pixels. We apply a debiasing estimator to ensure unbiasedness. Our method 
 can be integrated with many existing rendering methods and brings consiste
 nt improvement over its single-pixel counterpart.\n\nRegistration Category
 : Full Access, Full Access Supporter\n\nLanguage Format: English Language\
 n\nSession Chair: Manolis Savva (Simon Fraser University)
URL:https://asia.siggraph.org/2024/program/?id=papers_600&sess=sess128
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