Line Drawings for Face Portraits From Photos Using Global and Local Structure Based GANs

Despite significant effort and notable success of neural style transfer, it remains challenging for highly abstract styles, in particular line drawings. In this paper, we propose APDrawingGAN++, a generative adversarial network (GAN) for transforming face photos to artistic portrait drawings (APDraw...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2021-10, Vol.43 (10), p.3462-3475
Hauptverfasser:	Yi, Ran, Xia, Mengfei, Liu, Yong-Jin, Lai, Yu-Kun, Rosin, Paul L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artists Face Face portrait Facial features Gallium nitride generative adversarial network Generative adversarial networks Hair image translation Rendering (computer graphics) style transfer Training
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