计算机工程与应用2024，Vol.60Issue(9)：30-47,18.DOI:10.3778/j.issn.1002-8331.2309-0204
基于神经网络的图像风格迁移研究进展
Research Progress of Image Style Transfer Based on Neural Network
摘要
Abstract
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.关键词
图像风格迁移/深度学习/卷积神经网络/注意力机制Key words
image style transfer/deep learning/convolutional neural network/attention mechanism分类
信息技术与安全科学引用本文复制引用
廉露,田启川,谭润,张晓行..基于神经网络的图像风格迁移研究进展[J].计算机工程与应用,2024,60(9):30-47,18.基金项目
北京建筑大学研究生教育教学质量提升项目(J2022012) （J2022012）
北京建筑大学教育教学研究项目(Y2130) （Y2130）
北京建筑大学混合式课程建设项目(YC23019). （YC23019）
