Research on art style rendering system based on deep learning

Yawen Pang; Jia Li

doi:10.1117/12.3045408

15 January 2025 Research on art style rendering system based on deep learning

Yawen Pang, Jia Li

Author Affiliations +

Proceedings Volume 13513, The International Conference Optoelectronic Information and Optical Engineering (OIOE2024); 135130T (2025) https://doi.org/10.1117/12.3045408
Event: The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 2024, Wuhan, China

Abstract

Under the development trend of economic globalization, the communication and integration between different cultures have become the normal development, and the development of culture and art has broad space and opportunities. With the rapid development of the Internet, artificial intelligence and other technologies, it has gradually changed the production, dissemination and consumption mode of culture and art, and gradually become an important force to promote economic growth and transformation and upgrading. Taking painting art as an example, this paper mainly discusses the architecture and application performance of art style rendering system with deep learning as the core according to the rapid development of deep learning technology algorithm in recent years, in order to create favorable conditions for the innovation and development of painting art industry.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yawen Pang and Jia Li "Research on art style rendering system based on deep learning", Proc. SPIE 13513, The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130T (15 January 2025); https://doi.org/10.1117/12.3045408

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KEYWORDS

Deep learning

Neural networks

Algorithm development

Education and training

Design

Evolutionary algorithms

Convolutional neural networks

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