spectral methods

ReMatching: Low-Resolution Representations for Scalable Shape Correspondence
We introduce ReMatching, a novel shape correspondence solution based on the functional maps framework. Our method, by exploiting a new …
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ReMatching: Low-Resolution Representations for Scalable Shape Correspondence
Latent spectral regularization for continual learning
While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget …
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Latent spectral regularization for continual learning
MapTree: Recovering Multiple Solutions in the Space of Maps
In this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D …
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MapTree: Recovering Multiple Solutions in the Space of Maps
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
We present a simple and efficient method for refining maps or correspondences by iterative upsampling in the spectral domain that can …
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ZoomOut: Spectral Upsampling for Efficient Shape Correspondence