Artistic Style Transfer

This repository contains the code for Style Transfer from an Art to an Input Image using Keras and Tensorflow.

All code is written in Python 3 using PyCharm IDE.

Requirements

Update: Code tested on Windows 64-bit, Ubuntu 16.04 and Google Cloud Server Instance (Ubuntu 16.04, 7.50GB RAM)

S.No.	Papers / Authors	Paper Links
1.	"A Neural Algorithm of Artistic Style" by Leon A. Gatys	https://arxiv.org/pdf/1508.06576.pdf
2.	"Very Deep Convolutional Neural Networks For Large Scale Image Recognition" by Karen Simonyan & Andrew Zisserman	https://arxiv.org/pdf/1409.1556.pdf
3.	"Perceptual Losses for Real-Time Style Transfer and Super-Resolution" by Justin Johnson	https://arxiv.org/pdf/1603.08155.pdf
4.	"Incorporating Long-Range Consistency in CNN-Based Texture Generation" by Guillaume Berger & Roland Memisevic	https://arxiv.org/pdf/1606.01286.pdf
5.	Convolutional neural networks for artistic style transfer by Harish Narayanan	https://harishnarayanan.org/writing/artistic-style-transfer/