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DTSTAMP:20240214T070310Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T170000
DTEND;TZID=Australia/Melbourne:20231212T174800
UID:siggraphasia_SIGGRAPH Asia 2023_sess142@linklings.com
SUMMARY:Rendering
DESCRIPTION:Technical Communications, Technical Papers\n\nInput-Dependent 
 Uncorrelated Weighting for Monte Carlo Denoising\n\nImage-space denoising 
 techniques have been widely employed in Monte Carlo rendering, typically b
 lending neighboring pixel estimates using a denoising kernel. It is widely
  recognized that a kernel should be adapted to characteristics of the inpu
 t pixel estimates in order to ensure robustness to diver...\n\n\nJonghee B
 ack (Gwangju Institute of Science and Technology), Binh-Son Hua (Trinity C
 ollege Dublin), Toshiya Hachisuka (University of Waterloo), and Bochang Mo
 on (Gwangju Institute of Science and Technology)\n---------------------\nA
 daptive Recurrent Frame Prediction with Learnable Motion Vectors\n\nThe ut
 ilization of dedicated ray tracing graphics cards has contributed to the p
 roduction of stunning visual effects in real-time rendering. However, the 
 demand for high frame rates and high resolutions remains a challenge to be
  addressed. A crucial technique for increasing frame rate and resolution..
 .\n\n\nZhizhen Wu (State Key Lab of CAD&CG, Zhejiang University); Chenyu Z
 uo (State Key Lab of CAD&CG, State Key Laboratory of CAD & CG, Zhejiang Un
 iversity); Yuchi Huo (State Key Lab of CAD&CG, Zhejiang University; Zhejia
 ng Lab); Yazhen Yuan (Tencent); Yifan Peng (The University of Hong Kong (H
 KU)); Guiyang Pu (China Mobile (Hangzhou) Information Technology Co., Ltd)
 ; and Rui Wang and Hujun Bao (State Key Lab of CAD&CG, Zhejiang University
 )\n---------------------\nFast-MSX: Fast Multiple Scattering Approximation
 \n\nClassical microfacet theory suffers from energy loss on materials with
  high roughness due to the single bounce assumption of most microfacet mod
 els. When roughness is high, there is a large chance of multiple scatterin
 g occurring among the microfacets of the surface. Without explicitly model
 ling for...\n\n\nEnrique Rosales (Huawei) and Fatemeh Teimury, Joshua Hora
 csek, Aria Salari, Xuebin Qin, Adi Bar-Lev, Xiaoqiang Zhe, and Ligang Liu 
 (Huawei Technologies)\n---------------------\nFuseSR: Super Resolution for
  Real-time Rendering through Efficient Multi-resolution Fusion\n\nThe work
 load of real-time rendering is steeply increasing as the demand for high r
 esolution, high refresh rates, and high realism rises, overwhelming most g
 raphics cards. To mitigate this problem, one of the most popular solutions
  is to render images at a low resolution to reduce rendering overhead,...\
 n\n\nZhihua Zhong (State Key Lab of CAD&CG, Zhejiang University; Zhejiang 
 University City College); Jingsen Zhu (State Key Lab of CAD&CG, Zhejiang U
 niversity); Yuxin Dai (Zhejiang A&F University); Chuankun Zheng (State Key
  Lab of CAD&CG, Zhejiang University); Guanlin Chen (Zhejiang University Ci
 ty College); Yuchi Huo (Zhejiang Lab; State Key Lab of CAD&CG, Zhejiang Un
 iversity); and Hujun Bao and Rui Wang (State Key Lab of CAD&CG, Zhejiang U
 niversity)\n---------------------\nMonte Carlo Denoising via Multi-scale A
 uxiliary Feature Fusion Guided Transformer\n\nWe present an adversarial tr
 ansformer-based Monte Carlo denoising network guided by multi-scale auxili
 ary feature. Extensive experiments demonstrate the method's superiority in
  quantitative metrics and visual perception compared with state-of-the-art
  methods.\n\n\nBingyi Chen and Zengyu Liu (Center for Future Media, Univer
 sity of Electronic Science and Technology of China; School of Computer Sci
 ence and Engineering, University of Electronic Science and Technology of C
 hina); Li Yuan (Institute of Military Political Work, Academy of Military 
 Sciences); Zhitao Liu and Yi Li (Center for Future Media, University of El
 ectronic Science and Technology of China; School of Computer Science and E
 ngineering, University of Electronic Science and Technology of China); Gua
 n Wang (Yangtze Delta Region Institute of University of Electronic Science
  and Technology of China); and Ning Xie (Center for Future Media, Universi
 ty of Electronic Science and Technology of China; School of Computer Scien
 ce and Engineering, UESCT)\n\nRegistration Category: Full Access\n\nSessio
 n Chair: Michael Gharbi (Adobe, MIT)
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