A Survey of Research on Image Style Transfer Based on Deep Learning
Qiqi Shang, Lingxi Hu, Quanfeng Li, Wei Long, Linhua Jiang · 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) · 2021
The explosive growth of graphics card computing power is accompanied by the rise of deep learning, and the development of style transfer has also ushered in a new stage. And this technology is widely used in all aspects of life. This paper firstly introduces the traditional image style transfer method, and then focuses on the image style transfer method based on deep learning that has emerged in recent years. These image style transfer methods, based on convolutional neural network and generative adversarial network, are introduced respectively. Finally, some problems that exist in the current image style transfer and future development trends are discussed.