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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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DTSTAMP:20260817T171535Z
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:Xiaochun Tong and Toshiya Hachisuka (University of Waterloo)\n
 \nA typical Monte Carlo rendering method contributes one light path only t
 o a single pixel at a time. Reusing light paths across multiple pixels, ho
 wever, can amortize the cost and improve the efficiency. The state of the 
 art of path reuse is to employ shift mapping to reduce the cost of path re
 use, while its computation cost is still proportional to the number of pix
 els processed in shift mapping. We propose a general framework for efficie
 ntly reusing light paths to multiple pixels arranged in arbitrary two-dime
 nsional shapes. Our shape is defined as a set of multiple pixels, and the 
 framework allows us to reuse light paths among pixels in a shape faster th
 an simply evaluating all pixels via shift mapping. The key idea is to spar
 sely evaluate the contribution of shifted paths at random pixels within th
 e shape and interpolate the contribution to the other pixels. We apply a d
 ebiasing estimator to ensure unbiasedness. Our method can be integrated wi
 th many existing rendering methods and brings consistent improvement over 
 its single-pixel counterpart.\n\nRegistration Category: Full Access, Full 
 Access Supporter\n\nLanguage Format: English Language\n\nSession Chair: Ma
 nolis Savva (Simon Fraser University)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_600&sess=sess128
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