BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Australia/Melbourne X-LIC-LOCATION:Australia/Melbourne BEGIN:DAYLIGHT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 TZNAME:AEDT DTSTART:19721003T020000 RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:STANDARD DTSTART:19721003T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240214T070250Z 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:Doctoral Consortium\n\nAakash KT (International Institute Of I nformation Technology, Hyderabad)\n\nThe major contributions of this thesi s are extending and accelerating Linearly Transformed Cosines (LTC) and Mu lti-Scattering in path tracing. We first relax the polygonal light only an d no visibility assumptions of LTCs for area light rendering. Next, we rel ax the isotropic BRDF only assumption by supporting anisotropic BRDFs. The third contribution accelerates the recursion (multi-scattering) in path t racing specifically for hair, using online trained neural networks.\n\nReg istration Category: Full Access\n\nSession Chair: Aaron Quigley (CSIRO's D ata61) URL:https://asia.siggraph.org/2023/full-program?id=doc_114&sess=sess211 END:VEVENT END:VCALENDAR