Real-time arbitrary style transfer via deep learning

Real-time arbitrary style transfer via deep learning

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...

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Bibliographic Details
Main Author: Wang, Zijian
Other Authors: Chen Change Loy
Format: Final Year Project (FYP)
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

Internet

https://hdl.handle.net/10356/147930

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