Efficient Hair Style Transfer with Generative Adversarial Networks

Despite the recent success of image generation and style transfer with Generative Adversarial Networks (GANs), hair synthesis and style transfer remain challenging due to the shape and style variability of human hair in in-the-wild conditions. The current state-of-the-art hair synthesis approaches s...

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Hauptverfasser:	Pektas, Muhammed, Gecer, Baris, Ugur, Aybars
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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