摘要： 为了推动基于神经网络的图像风格迁移技术的研究，对基于神经网络的图像风格迁移的主要方法和代表性工作进行了总结和讨论。回顾了传统的风格迁移算法，详细介绍了基于神经网络的主要图像风格迁移的基本原理和方法，分析了相关基于神经网络的图像风格迁移领域的应用前景，最后总结了基于神经网络的图像风格迁移存在的挑战和未来研究方向。

中图分类号： TP183
文献标识码： A
DOI：10.16157/j.issn.0258-7998.222706
中文引用格式： 刘建锋，钟国韵. 基于神经网络的图像风格迁移研究综述[J].电子技术应用，2022，48(6)：14-18.
英文引用格式： Liu Jianfeng，Zhong Guoyun. Survey of image style transfer based on neural network[J]. Application of Electronic Technique，2022，48(6)：14-18.

Survey of image style transfer based on neural network

Abstract： In order to promote the research of image style transfer technology based on neural network, the main methods and representative work of image style transfer based on neural network are summarized and discussed in this paper. This paper reviews the traditional style transfer algorithms, introduces the basic principles and methods of the main image style transfer based on neural network in detail, analyzes the application prospect of the related field of image style transfer based on neural network, and finally summarizes the existing problems and future research direction of the image style transfer based on neural network.

Key words : neural network；image style transfer；texture synthesis