论文标题
图像样式转移：从艺术到逼真的
Image Style Transfer: from Artistic to Photorealistic
论文作者
论文摘要
深度学习的快速发展极大地促进了影子风格转移的发展。在这篇综述中，我们回顾了从艺术风格转移以及传统图像处理技术对感性逼真风格转移的贡献开始的影子风格转移的发展，包括在艾伯塔大学的多媒体实验室完成的一些工作。在这篇评论中讨论了许多技术。但是，我们的重点是基于VGG的技术，增白和着色转换（WCT）技术，将深度学习与传统图像处理技术的结合。
The rapid advancement of deep learning has significantly boomed the development of photorealistic style transfer. In this review, we reviewed the development of photorealistic style transfer starting from artistic style transfer and the contribution of traditional image processing techniques on photorealistic style transfer, including some work that had been completed in the Multimedia lab at the University of Alberta. Many techniques were discussed in this review. However, our focus is on VGG-based techniques, whitening and coloring transform (WCTs) based techniques, the combination of deep learning with traditional image processing techniques.
