Presentation
CageNet: A Meta-Framework for Learning on Wild Meshes
DescriptionWe propose a framework for learning on in-the-wild meshes containing non-manifold elements, multiple components, and interior structures. Our approach uses cages and generalized barycentric coordinates to parametrize and learn volumetric functions, demonstrated by segmentation and skinning weights, achieving state-of-the-art results on wild meshes.
Event Type
Technical Paper
TimeTuesday, 12 August 202511:35am - 11:45am PDT
LocationWest Building, Rooms 211-214
ACM Digital Library
Journal Papers' PDFs
Conference Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Tuesday, 12 August 202510:45am - 12:15pm PDTWest Building, Rooms 211-214
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