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Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
This, in turn, requires optimization over the permutation group, made challenging by differences in nodes (in terms of numbers, locations) and edges (in terms of shapes, placements, and sizes) across objects.
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae
This paper investigates the challenge of learning image manifolds, specifically pose manifolds, of 3D objects using limited training data.
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