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Multi-agent diverse generative adversarial networks

Abstract:

We propose MAD-GAN, an intuitive generalization to the Generative Adversarial Networks (GANs) and its conditional variants to address the well known problem of mode collapse. First, MAD-GAN is a multi-agent GAN architecture incorporating multiple generators and one discriminator. Second, to enforce that different generators capture diverse high probability modes, the discriminator of MAD-GAN is designed such that along with finding the real and fake samples, it is also required to identify th...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/CVPR.2018.00888

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Namboodiri, V More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
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Grant:
ERC-2012-AdG 321162-HELIOS
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Publication date:
2018-12-17
Acceptance date:
2018-02-19
DOI:
EISSN:
2575-7075
Pubs id:
pubs:844955
URN:
uri:eacde532-48db-4ec3-af71-20bd383b2afb
UUID:
uuid:eacde532-48db-4ec3-af71-20bd383b2afb
Local pid:
pubs:844955

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