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DTSTAMP:20240214T070243Z
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:Technical Communications, Technical Papers\n\nBingyi Chen and 
 Zengyu Liu (Center for Future Media, University of Electronic Science and 
 Technology of China; School of Computer Science and Engineering, Universit
 y of Electronic Science and Technology of China); Li Yuan (Institute of Mi
 litary Political Work, Academy of Military Sciences); Zhitao Liu and Yi Li
  (Center for Future Media, University of Electronic Science and Technology
  of China; School of Computer Science and Engineering, University of Elect
 ronic Science and Technology of China); Guan Wang (Yangtze Delta Region In
 stitute of University of Electronic Science and Technology of China); and 
 Ning Xie (Center for Future Media, University of Electronic Science and Te
 chnology of China; School of Computer Science and Engineering, UESCT)\n\nW
 e present an adversarial transformer-based Monte Carlo denoising network g
 uided by multi-scale auxiliary feature. Extensive experiments demonstrate 
 the method's superiority in quantitative metrics and visual perception com
 pared with state-of-the-art methods.\n\nRegistration Category: Full Access
 \n\nSession Chair: Michael Gharbi (Adobe, MIT)
URL:https://asia.siggraph.org/2023/full-program?id=tcom_160&sess=sess142
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