Self-Contained stylization via steganography for reverse and serial style transfer

Hung Yu Chen, I. Sheng Fang, Chia Ming Cheng, Wei Chen Chiu

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

Style transfer has been widely applied to give real-world images a new artistic look. However, given a stylized image, the attempts to use typical style transfer methods for de-stylization or transferring it again into another style usually lead to artifacts or undesired results. We realize that these issues are originated from the content inconsistency between the original image and its stylized output. Therefore, in this paper we advance to keep the content information of the input image during the process of style transfer by the power of steganography, with two approaches proposed: a two-stage model and an end-to-end model. We conduct extensive experiments to successfully verify the capacity of our models, in which both of them are able to not only generate stylized images of quality comparable with the ones produced by typical style transfer methods, but also effectively eliminate the artifacts introduced in reconstructing original input from a stylized image as well as performing multiple times of style transfer in series.

原文English
主出版物標題Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2152-2160
頁數9
ISBN(電子)9781728165530
DOIs
出版狀態Published - 3月 2020
事件2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020 - Snowmass Village, United States
持續時間: 1 3月 20205 3月 2020

出版系列

名字Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020

Conference

Conference2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020
國家/地區United States
城市Snowmass Village
期間1/03/205/03/20

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