Neural-Style-Transfer-tutorial

A simple walk-through keras implementation to learn style transfer using CNN/VGG19.

It illustrates 5 examples and for each there is separate IPython Notebook:

NST_example1.ipynb

NST_example2.ipynb

NST_example3.ipynb

NST_example4.ipynb

NST_example5.ipynb

As a part of this tutorial we will learn about

• single style transfer

• multiple style transfer

• masked style transfer

• color preservation

For understanding the basics of neural style transfer, go through this Neural-Style-Transfer.pdf

Kindly look for the outputs of our little style transfer experiment here: pictorial-summary-of-all-5-examples

References:

Neural-Style-Transfer-github

A Neural Algorithm of Artistic Style

Improving the Neural Algorithm of Artistic Style

Show, Divide and Neural: Weighted Style Transfer

Preserving Color in Neural Artistic Style Transfer

Very Deep Convolutional Networks for Large-Scale Image Recognition by Simonyan and Zisserman (2015)

Incorporating Long-Range Consistency in CNN-based Texture Generation