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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250814T091000
DTEND;TZID=America/Los_Angeles:20250814T092000
UID:siggraph_SIGGRAPH 2025_sess129_papers_1157@linklings.com
SUMMARY:MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material M
 odels
DESCRIPTION:Michael Birsak (King Abdullah University of Science and Techno
 logy (KAUST)), John Femiani (Miami University), and Biao Zhang and Peter W
 onka (King Abdullah University of Science and Technology (KAUST))\n\nMatCL
 IP assigns realistic PBR materials to 3D models using shape- and lighting-
 invariant descriptors derived from images, including LDM outputs and photo
 s. It outperforms prior methods by over 15%, enabling consistent material 
 predictions across varied geometry and lighting, with applications to larg
 e-scale 3D datasets like ShapeNet and Objaverse.\n\nInterest Area: Researc
 h & Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not 
 Recorded\n\nRegistration Category: Full Conference, Virtual Access, Thursd
 ay\n\n
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