Photorealistic Style Transfer via Adaptive Filtering and Channel Seperation-Reference-Cited by-同舟云学术

Photorealistic Style Transfer via Adaptive Filtering and Channel Seperation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Ding Hong¹,Luo Fei²,Jiang Caoqing³,Fu Gang²,Chen Zipei²,Hu Shenghong⁴,Xiao Chunxia²

Affiliation:

1. Guangxi University of Finance and Economics & Wuhan University, Nanning, China

2. Wuhan University, Wuhan, China

3. Guangxi University of Finance and Economics, Nanning, China

4. Hubei University of Economics, Wuhan, China

Funder

Guangxi First-class Discipline Statistics Construction Project Fund

Bingtuan Science and Technology Program

NSFC

Guangxi Key Laboratory of Big Data in Finance and Economics

the Humanities and Social Science Project of Ministry of Education of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548104

Reference40 articles.

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3. Leon A. Gatys and Ecker. Image style transfer using convolutional neural networks . In CVPR , pages 2414 -- 2423 , 2016 . Leon A. Gatys and Ecker. Image style transfer using convolutional neural networks. In CVPR, pages 2414--2423, 2016.

4. Attention-Aware Multi-Stroke Style Transfer

5. Yijun Li , Chen Fang , Jimei Yang , Zhaowen Wang , Xin Lu , and Ming-Hsuan Yang . Universal style transfer via feature transforms. arXiv preprint arXiv:1705.08086 , 2017 . Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang. Universal style transfer via feature transforms. arXiv preprint arXiv:1705.08086, 2017.