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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250812T113500
DTEND;TZID=America/Los_Angeles:20250812T114500
UID:siggraph_SIGGRAPH 2025_sess115_papers_1339@linklings.com
SUMMARY:Neural Importance Sampling of Many Lights
DESCRIPTION:Pedro Figueiredo and Qihao He (Texas A&M University), Steve Ba
 ko (Aurora Innovation), and Nima Khademi Kalantari (Texas A&M University)\
 n\nNeural approach for estimating spatially varying light selection distri
 butions to improve importance sampling in Monte Carlo rendering. To effici
 ently manage hundreds or thousands of lights, we integrate our neural appr
 oach with light hierarchy techniques, where the network predicts cluster-l
 evel distributions and existing methods sample lights within clusters.\n\n
 Interest Area: Research & Education\n\nRecording: Livestreamed, Not Livest
 reamed, Recorded, Not Recorded\n\nRegistration Category: Full Conference, 
 Virtual Access, Tuesday\n\nSession Chair: Chris Wyman (NVIDIA)\n\n
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