2023
Parametrizing Product Shape Manifolds by Composite Networks
ICLR 2023top-25%
Parametrizations of data manifolds in shape spaces can be computed using the rich toolbox of Riemannian geometry. This, however, often comes with high computational costs, which raises the question if one can learn an efficient neural network approximation. We show that this is indeed possible for s…