State‐of‐the‐Art in the Architecture, Methods and Applications of StyleGAN

Generative Adversarial Networks (GANs) have established themselves as a prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to support a large array of downstream tasks. This state‐of‐the‐art report covers t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer graphics forum 2022-05, Vol.41 (2), p.591-611
Hauptverfasser:	Bermano, A.H., Gal, R., Alaluf, Y., Mokady, R., Nitzan, Y., Tov, O., Patashnik, O., Cohen‐Or, D.
Format:	Artikel
Sprache:	eng
Schlagworte:	CCS Concepts Computer graphics Computing methodologies → Learning latent representations Generative adversarial networks Image manipulation Neural networks Trends Visual discrimination
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!