Presentation

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NAM: Neural Adjoint Maps for refinement of shape correspondences
SessionLearning & Shapes
DescriptionWe introduce Neural Adjoint Maps, a novel representation for correspondences 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.
Authors
Giulio Viganò
Università di Milano Bicocca
Maks Ovsjanikov
Centre National de la Recherche Scientifique - Laboratoire d'informatique de l'École Polytechnique (LIX)
Simone Melzi
Università di Milano Bicocca
Event Type
Technical Paper
TimeMonday, 11 August 20252:00pm - 2:10pm PDT
LocationWest Building, Rooms 211-214
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Monday, 11 August 20252:00pm - 3:30pm PDTWest Building, Rooms 211-214
Recordings
Livestreamed
Recorded
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