Rectified Wasserstein Generative Adversarial Networks for Perceptual Image Restoration

Wasserstein generative adversarial network (WGAN) has attracted great attention due to its solid mathematical background, i.e., to minimize the Wasserstein distance between the generated distribution and the distribution of interest. In WGAN, the Wasserstein distance is quantitatively evaluated by t...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 22. März, Seite 3648-3663
Auteur principal: Ma, Haichuan (Auteur)
Autres auteurs: Liu, Dong, Wu, Feng
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article