no code implementations • 12 Feb 2021 • Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb
An increasing number of models require the control of the spectral norm of convolutional layers of a neural network.
no code implementations • 17 Sep 2020 • Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler
Video prediction models often learn a latent representation of video which is encoded from input frames and decoded back into images.
1 code implementation • 2 Jul 2019 • Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller
Extracting the interpretable and physically meaningful parameters for such applications, however, requires solving an inverse problem in which a model function determined by these parameters needs to be fitted to the measured data.
no code implementations • 23 Mar 2017 • Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
In this paper we demonstrate that the framework of nonlinear spectral decompositions based on total variation (TV) regularization is very well suited for image fusion as well as more general image manipulation tasks.