Application Model Construction of Traditional Cultural Elements in Illustration Design under Artificial Intelligence Background

The sustainable development of modern illustration art needs to dig deep into traditional culture in content and, on the basis of spreading cultural forms and improving cultural influence, supplement its own creative forms. The influence of AI (artificial intelligence) on illustration design not onl...

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Bibliographic Details
Published in:Mobile information systems 2022-06, Vol.2022, p.1-9
Main Author: Shi, Lei
Format: Article
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
Artists
Color
Culture
Deep learning
Design
Design optimization
Generative adversarial networks
Illustrators
Image quality
Image retrieval
Information industry
New technology
Society
Sustainable development
Visual effects
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Summary:The sustainable development of modern illustration art needs to dig deep into traditional culture in content and, on the basis of spreading cultural forms and improving cultural influence, supplement its own creative forms. The influence of AI (artificial intelligence) on illustration design not only is manifested in the optimization of illustration design tools and the improvement of design efficiency, but also makes the illustration design methods more diverse and promotes new breakthroughs in the illustration design concept under the influence of new technologies. In this paper, combining the advantages of two activation functions, SoftSign and ReLU, a new activation function, SReLU, is constructed and applied to CNN (Convolutional Neural Network). The multimode property of color prediction is modeled by quantifying ab color channels in Lab color space, and the introduction of GAN (Generative Adversarial Network) structure can make the whole model show better generation effect and improve the generation ability of image style conversion network. Results. The experiment proves the effectiveness of the method with high-quality image visual effect.
ISSN:1574-017X
1875-905X
DOI:10.1155/2022/7412066