Real-time arbitrary style transfer via deep learning

• 主要作者: Wang, Zijian
• 其他作者: Chen Change Loy
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2021
• 主題: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• 在線閱讀: https://hdl.handle.net/10356/147930
• 機構: 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...