Advances in Multi-Style and Real-Time Transfer
This paper provides an overview of neural style transfer techniques, focusing on multi-style and real-time applications for both images and videos. Multi-style transfer refers to the technique of combining several art styles based on a given content image to create a unique and intriguing visual result. In contrast, real-time style transfer involves applying artistic styles almost instantaneously using pre-trained feedforward networks, making it particularly well-suited for video editing and live broadcasts. This paper reviews the most significant research and technical advancements in the field, while also addressing existing challenges that hinder the full potential of these transformative technologies. Furthermore, attention is given to emerging applications and the areas still in need of improvement, to enhance understanding and practical implementation.
Authors
- Prashasti Kanikar (ORCID: https://orcid.org/0000-0002-6006-6242)
- Archana Nanade (ORCID: https://orcid.org/0000-0002-2886-5810)
- Tanay Kelkar
- Abhay Kolhe
- Nisha Kini
- Vaishnavi Kamath
Institutions
- Narsee Monjee Institute of Management Studies (IN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/ssitcon62437.2024.10796439
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00