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DTSTAMP:20260805T205602Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260723T155500
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UID:siggraph_SIGGRAPH 2026_sess129_papers_1420@linklings.com
SUMMARY:Untangling Surfaces via Shape and Mesh Repulsion
DESCRIPTION:Jiří Minarčík (Carnegie Mellon University, Resistant AI); Mich
 ael Liu (Carnegie Mellon University); Keenan Crane (Carnegie Mellon Univer
 sity, Roblox Research); and Minchen Li (Carnegie Mellon University, Genesi
 s AI)\n\nWe present an energy-based framework for removing self-intersecti
 ons from surface meshes. A shape-level Gaussian energy resolves global ent
 anglement while a mesh-level Minkowski penalty handles local discrete dege
 neracies. Together, they eliminate all self-intersections across benchmark
  datasets, outperforming prior state-of-the-art methods.\n\nInterest Area:
  Research & Education\n\nKeyword: Geometry, Modeling\n\nRegistration Categ
 ory: Full Conference Supporter, Full Conference\n\nSession Chair: Renjie C
 hen (University of Science and Technology of China)\n\n
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