TensorFlow基础笔记 图像风格化效果与性能优化

Posted 2020-10-10

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:

• Image Style Transfer Using Convolutional Neural Networks, Gatys et al. [code (by Johnson)]
• Perceptual Losses for Real-Time Style Transfer and Super-Resolution, Johnson et al. [code]
• Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis, Ulyanov et al. [code]
• A Learned Representation For Artistic Style, Dumoulin et al. [code]
• Fast Patch-based Style Transfer of Arbitrary Style, Chen and Schmidt [code]
• Controlling Perceptual Factors in Neural Style Transfer, Gatys et al. [code]