Style Transfer: Generating Image Content to Emulate the Style of Another

Friday 25th of June

10am - 12pm 

Dr Yunhyong Kim, University of Glasgow

Yunhyong Kim is a Lecturer in the School of Humanities. She has a PhD in Mathematics from the University of Cambridge and an MSc. in Speech and Language Processing from the University of Edinburgh. She works across multiple topics related to information management and analysis, with a particular focus on areas that bring together artificial intelligence, digital curation, and forensics as part of an information ecosystem.

About the Session

Style transfer uses AI techniques to recompose the content of an image in the style of another. This session will introduce you to an overview of style transfer and the basic principles of how it has been implemented to work. The session will allow you to explore areas where style transfer has been applied and discuss their social implications for creativity and the digital economy.

Learning Outcomes

By the end of this session, participants will have been introduced to the basic principles of how style transfer works and will have explored applications of style transfer. 

This session will be of interest to doctoral researchers in all disciplines of the arts and humanities. 

Event contact: 

Click Here to Register (Please note that places are limited and will be allocated on a first come first served basis) 

First published: 20 May 2021