TensorFlow基础笔记(7) 图像风格化效果与性能优化进展

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

谈谈图像的style transfer（二）

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)]

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

Perceptual Losses for Real-Time Style Transfer and Super-Resolution, Johnson et al. [code]（改进2）

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] （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
Controlling Perceptual Factors in Neural Style Transfer, Gatys et al. [code]

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization (2017 -- 更快速度) [code]

deep-photo-styletransfer-master [code]