Deep Learning Based Style Transfer for Videos

碩士 === 國立交通大學 === 多媒體工程研究所 === 107 === Neural style transfer is usually suitable for use in abstract styles. When used in styles such as Japanese animation whose foreground is more complex than their background, the results are often not as good as expected. We design a method to automatically trans...

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Bibliographic Details
Main Authors: Chang, Wei-Cheng, 張為誠
Other Authors: Shih, Zen-Chung
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/fy564u