Spectral Bounding:Strictly Satisfying the 1-Lipschitz Property for Generative Adversarial Networks

Zhang, Zhihong, Zeng, Yangbin, Bai, Lu et al. (4 more authors) (Accepted: 2019) Spectral Bounding:Strictly Satisfying the 1-Lipschitz Property for Generative Adversarial Networks. Pattern Recognition. 107179. ISSN 0031-3203 (In Press)

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Item Type: Article
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© 2019 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Dates:
  • Accepted: 16 December 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 16 Dec 2019 12:30
Last Modified: 16 Oct 2024 16:15
Published Version: https://doi.org/10.1016/j.patcog.2019.107179
Status: In Press
Refereed: Yes
Identification Number: 10.1016/j.patcog.2019.107179
Open Archives Initiative ID (OAI ID):

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Description: PR-D-19-01088R1

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