Bilinear Models of Parts and Appearances in Generative Adversarial Networks

Recent advances in the understanding of Generative Adversarial Networks (GANs) have led to remarkable progress in visual editing and synthesis tasks, capitalizing on the rich semantics that are embedded in the latent spaces of pre-trained GANs. However, existing methods are often tailored to specifi...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 01. Nov., Seite 8568-8579
1. Verfasser: Oldfield, James (VerfasserIn)
Weitere Verfasser: Tzelepis, Christos, Panagakis, Yannis, Nicolaou, Mihalis A, Patras, Ioannis
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article