A survey of image stylization algorithms based on deep learning
Haixin Huang, Liang Zhixu, Dong Zhang · DOAJ (DOAJ: Directory of Open Access Journals) · 2019
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.