Research on Image Style Transfer Methods Based on Deep Learning

Jiandong Zhang

2024

Abstract

In order to create a new image technology with both properties, the image style transfer technique involves extracting the image's style attributes from the input style pictures and integrating them with the content pictures. As deep learning has advanced over the past few years, style transfer technology problems have seen an increasing application of deep learning networks. This paper summarizes the basic concepts of style transfer technology, introduces the different networks in the deep learning network structure applied in style transfer, as well as the specific models and algorithms to achieve style transfer under different networks, and finally analyzes and compares the migration effects of different networks according to the migration results of different pictures. In addition, this paper also introduces and explains the flow and algorithm structure of AdaIN algorithm, another common technique in style transfer. The purpose of this paper is to summarize and review the transfer technology based on deep learning network used in image style transfer technology, provide theoretical reference for subsequent researchers, and promote the development of this field.

Paper Citation

in Harvard Style

Zhang J. (2024). Research on Image Style Transfer Methods Based on Deep Learning. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 73-78. DOI: 10.5220/0013231700004558

in Bibtex Style

@conference{mlscm24,
author={Jiandong Zhang},
title={Research on Image Style Transfer Methods Based on Deep Learning},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={73-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013231700004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - Research on Image Style Transfer Methods Based on Deep Learning
SN - 978-989-758-738-2
AU - Zhang J.
PY - 2024
SP - 73
EP - 78
DO - 10.5220/0013231700004558
PB - SciTePress