基于神经网络的图像风格迁移研究进展OA北大核心CSTPCD

Image style transfer is the process of remapping the content of a specified image with a style image,which is a research hotspot in the field of artificial intelligence computer vision.Traditional image style transfer methods are mainly based on the synthesis of physical and texture techniques,and the style transfer effect is rough and less robust.With the emergence of image datasets and the proposal of various deep learning model networks,many models and algorithms for image style transfer have emerged.This paper analyzes the current status of image style transfer research,combs the devel-opment of image style transfer and the latest research progress,and gives the future research directions of image style transfer through comparative analysis.