32 citations · 89 across the 19 of their papers we have counts for
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cs.CV2020★ 32 cited
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé +1
We propose a novel unsupervised learning approach to 3D shape correspondence that builds a multiscale matching pipeline into a deep neural network. This approach is based on smooth…
cs.CV2020
Hamiltonian Dynamics for Real-World Shape Interpolation
Marvin Eisenberger, Daniel Cremers
We revisit the classical problem of 3D shape interpolation and propose a novel, physically plausible approach based on Hamiltonian dynamics. While most prior work focuses on synthe…