Real-time arbitrary style transfer via deep learning

• Main Author: Wang, Zijian
• Other Authors: Chen Change Loy
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/147930
• Institution: Nanyang Technological University

Neural style transfer is the process of merging the content of one image with the style of another to create a new image. Many applications have recently exploited style transfer to create highly popular content on social media. Existing methods typically face limitations such as a small number of t...