Style transfer with deep convolution neural network

This repository contains Jupyter Notebook file style-transfer.ipynb on neural style transfer. Algorithm uses VGG-16 as features extractor and optimizes output image with gradient descent [1]. For demonstrational purposes several images were put in the folder images and will be used in the notebook.

Reference

1. Gatys, Leon A. and Ecker, Alexander S. and Bethge, Matthias. Image Style Transfer Using Convolutional Neural Networks // The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June, 2016.