关键词: 图像风格迁移, 深度学习, 卷积神经网络, 生成对抗网络

Abstract:

Image style transfer is one of the hot research directions in the field of computer vision. With the rise of deep learning, the field of image style transfer has made a breakthrough. In order to promote the development of image style transfer, the existing research methods of image style transfer based on deep learning are reviewed. Firstly, the image style transfer methods based on deep learning are classified and combed, and the style transfer methods based on convolutional neural network and generative adversarial network are compared and analyzed. Then, the improvements and expansions of image style transfer are introduced. Finally, the current challenges and future research directions in the field of image style transfer are discussed.

Key words: image style transfer, deep learning, convolutional neural network, generative adversarial network