Explaining Neural Style Transfer [AI-eXplained]
This extended abstract serves as an entry point into our immersive article, allowing readers to explore the concept of neural style transfer in various interactive components. Throughout the article, the task of style transfer and how it can be accomplished by using deep neural networks are introduced. Furthermore, several extensions of the style transfer process such as color correction models are highlighted and described in more detail in the full immersive article.
Authors
- Alexander Dockhorn (ORCID: https://orcid.org/0000-0001-8711-7428)
- Yi-Sheng Liao (ORCID: https://orcid.org/0009-0009-5122-3996)
- Chun-Rong Huang (ORCID: https://orcid.org/0000-0003-2372-5429)
- Chau‐Chen Yang
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Chung Hsing University (TW)
- University of Southern Denmark (DK)
Publication Details
- Journal
- IEEE Computational Intelligence Magazine
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1109/mci.2025.3569794
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00