BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260805T205604Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260721T093000
DTEND;TZID=America/Los_Angeles:20260721T094000
UID:siggraph_SIGGRAPH 2026_sess106_papers_1355@linklings.com
SUMMARY:Toward Richer Material Generation via Procedural Data Enhancement
DESCRIPTION:Yunchen Yu (Cornell University, NVIDIA); Jacob Munkberg, Jon H
 asselgren, and Chris Cummings (NVIDIA); Steve Marschner (Cornell Universit
 y, NVIDIA); and Andrea Weidlich (NVIDIA)\n\nGenerative material models are
  limited by simple PBR data. We augment single-lobe GGX materials into lay
 ered, multi-lobe models capturing richer effects (e.g., dust, clearcoat). 
 These are encoded as neural materials in a shared 6D latent space. The res
 ulting dataset enables generative models to produce more expressive materi
 als.\n\nInterest Area: Research & Education\n\nKeyword: Artificial Intelli
 gence/Machine Learning, Generative AI, Geometry, Modeling, Rendering\n\nRe
 gistration Category: Full Conference Supporter, Full Conference\n\nSession
  Chair: I-Chao Shen (The University of Tokyo)\n\n
END:VEVENT
END:VCALENDAR