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DTSTART:19700308T020000
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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250812T113500
DTEND;TZID=America/Los_Angeles:20250812T114500
UID:siggraph_SIGGRAPH 2025_sess112_papers_491@linklings.com
SUMMARY:CageNet: A Meta-Framework for Learning on Wild Meshes
DESCRIPTION:Michal Edelstein (Technion – Israel Institute of Technology); 
 Hsueh-Ti Derek Liu (Roblox, University of British Columbia); and Mirela Be
 n-Chen (Technion - Israel Institute of Technology)\n\nWe propose a framewo
 rk for learning on in-the-wild meshes containing non-manifold elements, mu
 ltiple components, and interior structures. Our approach uses cages and ge
 neralized barycentric coordinates to parametrize and learn volumetric func
 tions, demonstrated by segmentation and skinning weights, achieving state-
 of-the-art results on wild meshes.\n\nInterest Area: Research & Education\
 n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRe
 gistration Category: Full Conference, Virtual Access, Tuesday\n\nSession C
 hair: Mikhail Bessmeltsev (University of Montreal)\n\n
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