Implementing of the "A Neural Algorithm of Artistic Style"
This is an implementation of the "A Neural Algorithm of Artistic Style". This uses the selected filtered responses of a pre-trained model (VGG-19) to capture low level to high level features and transfer them to the content image.
You can now do it through the IPython Notebook available here!
This code is documented so you can follow along while reading with the paper. You can also just replace with your own images and to generate your new painting.
Using the StarryNight:
You will need to install dependencies:
You will need to download the VGG-19 model.
Then just run art.py.