Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022)

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Deep Learning Based Image Migration Style Related Research

Authors
Ruiyang Zhao1, *
1Department of Communication Engineering, School of Information Engineering, East China Jiaotong University, Nanchang, 330013, China
*Corresponding author. Email: gc1974757084@gmail.com
Corresponding Author
Ruiyang Zhao
Available Online 9 December 2022.
DOI
10.2991/978-2-494069-51-0_62How to use a DOI?
Keywords
Deep learning; Transfer style; GAN; Modeling
Abstract

In recent years, image style migration techniques are generally used to simulate image styles by manual mathematical modeling. Deep learning, with its advantage of extracting high-level abstract features quickly, has been applied to extract stylized features and content features of images, and has become a mainstream technique in the field of image style migration. This paper introduces the image style migration methods of deep learning and GAN, and focuses on an in-depth analysis of the comparative research content of today's image migration style methods to find some of today's cutting-edge mainstream application scenarios and the shortcomings and deficiencies found, as well as an introduction to image style migration algorithms, and finally, it also gives some insight into the current problems and future research directions for deep learning-based image style migration. Finally, the current problems and future research directions of deep learning based image style migration are also summarized and prospected.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
9 December 2022
ISBN
978-2-494069-51-0
ISSN
2352-5398
DOI
10.2991/978-2-494069-51-0_62How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ruiyang Zhao
PY  - 2022
DA  - 2022/12/09
TI  - Deep Learning Based Image Migration Style Related Research
BT  - Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022)
PB  - Atlantis Press
SP  - 451
EP  - 457
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-51-0_62
DO  - 10.2991/978-2-494069-51-0_62
ID  - Zhao2022
ER  -