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DTSTART:19721003T020000
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DTSTAMP:20260114T163657Z
LOCATION:Meeting Room C4.3\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T113000
DTEND;TZID=Australia/Melbourne:20231215T120000
UID:siggraphasia_SIGGRAPH Asia 2023_sess211_doc_114@linklings.com
SUMMARY:Analytical & Neural approaches to Physically Based Rendering
DESCRIPTION:Aakash KT (International Institute Of Information Technology, 
 Hyderabad)\n\nThe major contributions of this thesis are extending and acc
 elerating Linearly Transformed Cosines (LTC) and Multi-Scattering in path 
 tracing. We first relax the polygonal light only and no visibility assumpt
 ions of LTCs for area light rendering. Next, we relax the isotropic BRDF o
 nly assumption by supporting anisotropic BRDFs. The third contribution acc
 elerates the recursion (multi-scattering) in path tracing specifically for
  hair, using online trained neural networks.\n\nRegistration Category: Ful
 l Access\n\nSession Chair: Aaron Quigley (CSIRO's Data61)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=doc_114&sess=sess211
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