Application of Style Transfer Algorithm in Urban Image Design
The rapid development of culture and tourism industry makes the city image the key to enhance competitiveness and cultural influence. As an image processing method based on deep learning, style transfer technology can integrate traditional cultural elements and artistic styles to create personalized urban image design. Taking the Yellow Crane Tower in Wuhan as an example, this paper discusses how to use the style transfer algorithm, combined with its history, culture and art design, to realize the visual integration of tradition and modernity. This method not only expands the digital expression form of the city image, but also constructs a systematic image upgrading path, providing technical support for the city to create a unique cultural identity in the context of globalization.
Authors
- Jian Rao (ORCID: https://orcid.org/0009-0004-7625-5875)
- Fei Yuan (ORCID: https://orcid.org/0009-0007-6043-0757)
- Wanyao Xiao
Institutions
- Wuhan University of Technology (CN)
- Hubei University of Technology (CN)
Publication Details
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1109/icaide65466.2025.11189517
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.00