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DTSTAMP:20260805T205601Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260722T092000
DTEND;TZID=America/Los_Angeles:20260722T093000
UID:siggraph_SIGGRAPH 2026_sess141_paperstog_113@linklings.com
SUMMARY:ReSTIR BDPT: Bidirectional ReSTIR Path Tracing with Caustics
DESCRIPTION:Trevor Hedstrom (University of California San Diego); Markus K
 ettunen, Daqi Lin, and Chris Wyman (NVIDIA); Tzu-Mao Li (University of Cal
 ifornia San Diego); and Trevor Hedstrom\n\nReSTIR accelerates path tracing
  by reusing samples between pixels. However, existing methods are limited 
 by the sampling quality of path tracing, making them inefficient for scene
 s with caustics and hard-to-reach lights. We develop a ReSTIR variant inco
 rporating bidirectional path tracing that significantly improves the sampl
 ing quality in these scenes.\n\nInterest Area: Research & Education\n\nKey
 word: Artificial Intelligence/Machine Learning, Real-Time, Rendering\n\nRe
 gistration Category: Full Conference Supporter, Full Conference\n\nSession
  Chair: Victor Ostromoukhov (Université Claude Bernard Lyon, CNRS - LIRIS)
 \n\n
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