Design of Painting Art Style Rendering System Based on Convolutional Neural Network

Convolutional Neural Network- (CNN-) based GAN models mainly suffer from problems such as data set limitation and rendering efficiency in the segmentation and rendering of painting art. In order to solve these problems, this paper uses the improved cycle generative adversarial network (CycleGAN) to...

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Veröffentlicht in:	Scientific programming 2021-10, Vol.2021, p.1-11, Article 4708758
Hauptverfasser:	Xie, Xingyu, Lv, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science Computer Science, Software Engineering Deep learning Generative adversarial networks Image quality Image segmentation Methods Neural networks Noise Rendering Science & Technology Semantics Technology
Online-Zugang:	Volltext
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