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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250812T140000
DTEND;TZID=America/Los_Angeles:20250812T141000
UID:siggraph_SIGGRAPH 2025_sess131_papers_305@linklings.com
SUMMARY:Image-space Adaptive Sampling for Fast Inverse Rendering
DESCRIPTION:Kai Yan (University of California Irvine); Cheng Zhang (Realit
 y Labs Research, Meta); Sébastien Speierer (Reality Labs, Meta); Guangyan 
 Cai (University of California Irvine); Yufeng Zhu and Zhao Dong (Reality L
 abs, Meta); and Shuang Zhao (University of California Irvine)\n\nOur goal 
 is to accelerate inverse rendering by reducing the sampling budget without
  sacrificing overall performance. We introduce a novel image-space adaptiv
 e sampling framework to accelerate inverse rendering by dynamically adjust
 ing pixel sampling probabilities based on gradient variance and contributi
 on to the loss function.\n\nInterest Area: Research & Education\n\nRecordi
 ng: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration
  Category: Full Conference, Virtual Access, Tuesday\n\nSession Chair: Meng
 qi Xia (Yale University)\n\n
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