基于深度学习的图像风格化算法研究综述

A survey of image stylization algorithms based on deep learning

随着“人工智能”时代的到来,“深度学习”一词也逐渐走进大众的视野,一些基于深度学习神经网络的图像处理方法也随之产生,图像风格化作为其中一个重要的分支也获得了广泛的关注。目前,研究学者提出了很多基于深度学习的图像风格化算法,而且都能较好地完成风格化任务。全面概述了深度学习在图像风格化领域的进展,对比了不同算法之间的优劣,最后探讨了当前基于深度学习的图像风格化研究的局限性及未来的研究方向。

With the advent of the “artificial intelligence” era, the term “deep learning” has gradually entered the public′s field of vision. Some image processing methods based on deep learning neural networks have also emerged. Image stylization as an important branch has also gained widespread attention. At present, researchers have proposed a lot of image stylization algorithms based on deep learning, and they can accomplish stylized tasks well. This paper comprehensively summarizes the progress of deep learning in the field of image stylization, compares the advantages and disadvantages of different algorithms, and finally discusses the limitations of current image stylization research based on deep learning and future research directions.