StyleTransferTensorFlow

Implementation of the paper “A Neural Algorithm of Artistic Style“ in TensorFlow

The general idea is to take two images, and produce a new image that reflects the content of one but the artistic “style” of the other. We will do this by first formulating a loss function that matches the content and style of each respective image in the feature space of a deep neural network, and then performing gradient descent on the pixels of the image itself.

A more verbose version giving a deeper explanation and going over equations can be found in the following blogpost A Neural Algorithm of Artistic Style.

Usage

Prerequisites

1. Python 3
2. TensorFlow
3. Python packages : NumPy, SciPy

4. Pretrained VGG19 file : imagenet-vgg-verydeep-19.mat

   • Download the file from the link above.
   • Save the file under model/

Running

python StyleTransferTensorFlow.py