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Authors: Ricard Durall 1 ; 2 ; 3 ; Franz-Josef Pfreundt 2 and Janis Keuper 2 ; 4

Affiliations: 1 Fraunhofer Center Machine Learning, Germany ; 2 Fraunhofer ITWM, Germany ; 3 IWR, University of Heidelberg, Germany ; 4 Institute for Machine Learning and Analytics, Offenburg University, Germany

Keyword(s): Generative Adversarial Network, Octave Convolution, Stability, Regularization.

Abstract: Motivated by recently published methods using frequency decompositions of convolutions (e.g. Octave Convolutions), we propose a novel convolution scheme to stabilize the training and reduce the likelihood of a mode collapse. The basic idea of our approach is to split convolutional filters into additive high and low frequency parts, while shifting weight updates from low to high during the training. Intuitively, this method forces GANs to learn low frequency coarse image structures before descending into fine (high frequency) details. We also show, that the use of the proposed soft octave convolutions reduces common artifacts in the frequency domain of generated images. Our approach is orthogonal and complementary to existing stabilization methods and can simply be plugged into any CNN based GAN architecture. Experiments on the CelebA dataset show the effectiveness of the proposed method.

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Paper citation in several formats:
Durall, R.; Pfreundt, F. and Keuper, J. (2021). Stabilizing GANs with Soft Octave Convolutions. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 15-23. DOI: 10.5220/0010178700150023

@conference{visapp21,
author={Ricard Durall. and Franz{-}Josef Pfreundt. and Janis Keuper.},
title={Stabilizing GANs with Soft Octave Convolutions},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={15-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010178700150023},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Stabilizing GANs with Soft Octave Convolutions
SN - 978-989-758-488-6
IS - 2184-4321
AU - Durall, R.
AU - Pfreundt, F.
AU - Keuper, J.
PY - 2021
SP - 15
EP - 23
DO - 10.5220/0010178700150023
PB - SciTePress

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