2022
DOI: 10.1155/2022/2711861
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Design of Watercolor Cultural and Creative Products Based on Style Transfer Algorithm

Abstract: Due to the long design cycle of watercolor cultural and creative products, a design method based on style transfer algorithm is proposed. Here, the design of Shanghai style watercolor painting cultural and creative products is taken as the research object, VGG-19 network is used as the style transfer model, and the loss function of style transfer algorithm is designed. The simulation results show that the proposed method can effectively extract and reconstruct the color, texture, brushstroke, and other styles … Show more

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Cited by 2 publications
(1 citation statement)
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References 27 publications
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“…In terms of image style transfer, Wang [43] used the style transfer algorithm to apply Shanghai-style watercolor paintings to the design of cultural and creative products, providing reference and technical guidance for the design and development of cultural and creative products. Duan, Zhang, and Gu [44] took the personalized design of art painting-derived images as the starting point of their research, used intelligent technology for sentiment analysis, and established a correspondence between image style and emotional imagery, providing new ideas for the design of art derivatives with personalized needs.…”
Section: Introductionmentioning
confidence: 99%
“…In terms of image style transfer, Wang [43] used the style transfer algorithm to apply Shanghai-style watercolor paintings to the design of cultural and creative products, providing reference and technical guidance for the design and development of cultural and creative products. Duan, Zhang, and Gu [44] took the personalized design of art painting-derived images as the starting point of their research, used intelligent technology for sentiment analysis, and established a correspondence between image style and emotional imagery, providing new ideas for the design of art derivatives with personalized needs.…”
Section: Introductionmentioning
confidence: 99%