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BEGIN:VEVENT
DTSTAMP:20250522T212740Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_258@linklings.com
SUMMARY:ContourCraft: Learning to Resolve Intersections in Neural Multi-ga
 rment Simulations
DESCRIPTION:Artur Grigorev (ETH Zürich, Max Planck Institue for Intelligen
 t Systems); Giorgio Becherini and Michael Black (Max Planck Institue for I
 ntelligent Systems); and Otmar Hilliges and Bernhard Thomaszewski (ETH Zür
 ich)\n\nWe present a learning-based solution for handling collisions and s
 elf-intersections. Our method robustly recovers from intersections introdu
 ced through missed collisions, self-penetrating bodies, or manually design
 ed multi-layer outfits. The technical core of our method is a novel inters
 ection contour loss that penalizes inter-penetrations and encourages rapid
  resolution thereof.\n\nInterest Area: Arts & Design, Production & Animati
 on, Research & Education\n\nRecording: Livestreamed, Recorded\n\nRegistrat
 ion Category: Full Conference, Full Conference Supporter, Virtual Access, 
 Experience, Exhibitor Full Conference, Exhibitor Experience, Sunday\n\n
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