Artistic characterization of AI painting based on generative adversarial networks
Weiwei Lu,
Ruixing Qi,
Yuhui Li
Abstract:Combined with the creation process of AI painting art, it analyzes the artistic design characteristics of AI paintings formed by generative adversarial networks. It utilizes a convolutional neural network to extract the artistic characteristics of AI paintings and combines the error of feature loss to calculate the features, which ensures the stable operation of the generative adversarial network model. To achieve the style migration of AI painting artworks, the Cycle GAN model was designed on this basis. Comp… Show more
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