21 citations · 32 across the 5 of their papers we have counts for
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cs.GR2023★ 5 cited
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence
Filippo Maggioli, Daniele Baieri, Emanuele Rodolà +1
We introduce \emph{ReMatching}, a novel shape correspondence solution based on the functional maps framework. Our method, by exploiting a new and appropriate \emph{re}-meshing para…
cs.GR2021
Learning Spectral Unions of Partial Deformable 3D Shapes
Luca Moschella, Simone Melzi, Luca Cosmo +5
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study of the Laplacian spectrum as a compact, isome…