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DTSTAMP:20260114T163641Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T173000
DTEND;TZID=Australia/Melbourne:20231212T173800
UID:siggraphasia_SIGGRAPH Asia 2023_sess142_tcom_160@linklings.com
SUMMARY:Monte Carlo Denoising via Multi-scale Auxiliary Feature Fusion Gui
 ded Transformer
DESCRIPTION:Bingyi Chen and Zengyu Liu (Center for Future Media, Universit
 y of Electronic Science and Technology of China; School of Computer Scienc
 e and Engineering, University of Electronic Science and Technology of Chin
 a); Li Yuan (Institute of Military Political Work, Academy of Military Sci
 ences); Zhitao Liu and Yi Li (Center for Future Media, University of Elect
 ronic Science and Technology of China; School of Computer Science and Engi
 neering, University of Electronic Science and Technology of China); Guan W
 ang (Yangtze Delta Region Institute of University of Electronic Science an
 d Technology of China); and Ning Xie (Center for Future Media, University 
 of Electronic Science and Technology of China; School of Computer Science 
 and Engineering, UESCT)\n\nWe present an adversarial transformer-based Mon
 te Carlo denoising network guided by multi-scale auxiliary feature. Extens
 ive experiments demonstrate the method's superiority in quantitative metri
 cs and visual perception compared with state-of-the-art methods.\n\nRegist
 ration Category: Full Access\n\nSession Chair: Michael Gharbi (Reve AI, Ma
 ssachusetts Institute of Technology (MIT))\n\n
URL:https://asia.siggraph.org/2023/full-program?id=tcom_160&sess=sess142
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