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DTSTART:19700308T020000
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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250811T140000
DTEND;TZID=America/Los_Angeles:20250811T141000
UID:siggraph_SIGGRAPH 2025_sess126_papers_1494@linklings.com
SUMMARY:NAM: Neural Adjoint Maps for refinement of shape correspondences
DESCRIPTION:Giulio Viganò (Università di Milano Bicocca), Maks Ovsjanikov 
 (Centre National de la Recherche Scientifique - Laboratoire d'informatique
  de l'École Polytechnique (LIX)), and Simone Melzi (Università di Milano B
 icocca)\n\nWe introduce Neural Adjoint Maps, a novel representation for co
 rrespondences between 3D shapes. Built on and extending the functional map
  framework, our approach enables accurate, non-linear refinement of shape 
 matching across meshes and point clouds, setting a new standard in diverse
  scenarios and applications like graphics and medical imaging.\n\nInterest
  Area: Research & Education\n\nRecording: Livestreamed, Not Livestreamed, 
 Recorded, Not Recorded\n\nRegistration Category: Full Conference, Virtual 
 Access, Monday\n\nSession Chair: Nicholas Sharp (NVIDIA)\n\n
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