参考

http://hacker.duanshishi.com/?p=1693

http://blog.csdn.net/hungryof/article/details/53981959

http://blog.csdn.net/hungryof/article/details/61195783

http://blog.csdn.net/wyl1987527/article/details/70245214

https://www.ctolib.com/AdaIN-style.html

https://www.leiphone.com/news/201705/ro8EB2entk3vXybM.html(Styles 历史)

http://www.jianshu.com/p/b1189448eb2e

http://blog.csdn.net/wspba/article/details/53994649

 

 

Acknowledgement

This project is inspired by many existing style transfer methods and their open-source implementations, including:

• , Gatys et al. [ (by )]
• A Neural Algorithm of Artistic Style, （原版）
• Texture Synthesis Using Convolutional Neural Networks
• Texture Networks: Feed-forward Synthesis of Textures and Stylized Images(改进1)
• Instance Normalization The Missing Ingredient for Fast Stylization
• Deep Identity-aware Transfer of Facial Attributes
• , et al. []（改进2）
• , et al. []
• , et al. []
• , Chen and [] （超越fast style transfer----任意风格图和内容图0.1秒出结果) https://github.com/rtqichen/style-swap
• , Gatys et al. [] 
• Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization (2017 -- 更快速度) []
• deep-photo-styletransfer-master