Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
–Neural Information Processing Systems
We introduce an approach for establishing dense correspondences between partial scans of human models and a complete template model. Our approach's key novelty lies in formulating dense correspondence computation as initializing and synchronizing local transformations between the scan and the template model.
Neural Information Processing Systems
Nov-15-2025, 08:11:24 GMT
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