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BEGIN:VEVENT
DTSTAMP:20260114T163745Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T164000
DTEND;TZID=Australia/Melbourne:20231213T173100
UID:siggraphasia_SIGGRAPH Asia 2023_sess146@linklings.com
SUMMARY:Materials
DESCRIPTION:Multiple-bounce Smith Microfacet BRDFs using the Invariance Pr
 inciple\n\nSmith microfacet models are widely used in computer graphics to
  represent materials. Traditional microfacet models do not consider the mu
 ltiple bounces on microgeometries, leading to visible energy missing, espe
 cially on rough surfaces. Later, as the equivalence between the microfacet
 s and volume ha...\n\n\nYuang Cui (Anhui Science and Technology University
 ); Gaole Pan and Jian Yang (Nanjing University of Science and Technology);
  Lei Zhang (The Hong Kong Polytechnic University); Ling-Qi Yan (University
  of California, University of California Santa Barbara); and Beibei Wang (
 Nankai University, Nanjing University of Science and Technology)\n--------
 -------------\nBounded VNDF Sampling for Smith–GGX Reflections\n\nThis pap
 er presents an unbiased VNDF sampling method specialized for reflections. 
 By using our method, we can reduce the variance for rough surfaces with sm
 all overhead.\n\n\nKenta Eto and Yusuke Tokuyoshi (Advanced Micro Devices,
  Inc.)\n---------------------\nA Micrograin BSDF Model for the Rendering o
 f Porous Layers\n\nWe introduce a new BSDF model for the rendering of poro
 us layers, as found on surfaces covered by dust, rust, dirt, or sprayed pa
 int. \nOur approach is based on a distribution of elliptical opaque microg
 rains, extending the Trowbridge-Reitz (GGX) distribution [Trowbridge1975,W
 alter2007] to handle por...\n\n\nSimon Lucas (Université de Bordeaux, INRI
 A); Mickael Ribardiere (Université de Poitiers); and Romain Pacanowski and
  Pascal Barla (INRIA)\n---------------------\nMetaLayer: A Meta-learned BS
 DF Model for Layered Materials\n\nReproducing the appearance of arbitrary 
 layered materials has long been a critical challenge in computer graphics,
  with regard to the demanding requirements of both physical accuracy and l
 ow computation cost. Recent studies have demonstrated promising results by
  learning-based representations that i...\n\n\nJie Guo, Zeru Li, and Xueya
 n He (Nanjing University); Beibei Wang (Nankai University, Nanjing Univers
 ity of Science and Technology); Wenbin Li and Yanwen Guo (Nanjing Universi
 ty); and Ling-Qi Yan (University of California, Santa Barbara)\n----------
 -----------\nStandard Shader Ball A Modern and Feature-Rich Render Test Sc
 ene\n\nA feature-rich, modern material render test scene has been contribu
 ted to the computer graphics community.\n\n\nAndré Mazzone (Industrial Lig
 ht & Magic) and Chris Rydalch (Side Effects Software)\n\nRegistration Cate
 gory: Full Access\n\nSession Chair: Hongzhi Wu (Zhejiang University; State
  Key Laboratory of CAD&CG, Zhejiang University)
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