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TZOFFSETFROM:-0800
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DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTAMP:20260805T205604Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260722T090000
DTEND;TZID=America/Los_Angeles:20260722T091000
UID:siggraph_SIGGRAPH 2026_sess141_papers_647@linklings.com
SUMMARY:Spatio-Temporal Control Variates with ReSTIR for Real-Time Renderi
 ng
DESCRIPTION:Zhong Shi and Cunhao Wu (CS Dept, Tsinghua University); Lifan 
 Wu (NVIDIA); and Kun Xu (CS Dept, Tsinghua University)\n\nWe present ReSTC
 V, a real-time path tracing method that integrates spatio-temporal control
  variates into ReSTIR. By improving sample reuse beyond single-sample esti
 mation, our approach significantly reduces noise, especially chromatic noi
 se under complex lighting, while maintaining efficiency and requiring only
  minimal changes to existing ReSTIR pipelines.\n\nInterest Area: Research 
 & Education\n\nKeyword: Artificial Intelligence/Machine Learning, Real-Tim
 e, Rendering\n\nRegistration Category: Full Conference Supporter, Full Con
 ference\n\nSession Chair: Victor Ostromoukhov (Université Claude Bernard L
 yon, CNRS - LIRIS)\n\n
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