Research on the Transfer Effect of Traditional Painting Styles Empowered by Artificial Intelligence
With the vigorous development and technological advancement of artificial intelligence, style transfer technology driven by deep learning has become a hot topic in the research of artificial intelligence computer vision. This technology not only promotes the innovation pace of artificial intelligence, but also opens up a new cross disciplinary chapter by combining with traditional painting. Style transfer technology not only opens up a new path for the dissemination of traditional painting, but also promotes its deep practice of protection and innovation. This paper reviews the development of style transfer technology, and discusses the transfer effects of different style transfer models in different traditional painting styles in China through experiments, which provides a reference direction for the development of traditional painting in the field of style transfer, and also provides guidance and enlightenment for future practitioners in model selection.
Authors
- Heyu Wang (ORCID: https://orcid.org/0009-0004-5346-8229)
- Chen Cui
Institutions
- Beijing Institute of Graphic Communication (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1145/3707292.3707393
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.00