02-siyeong / artistic-style-transfer-using-keras-tensorflow

Art to Image Style Transfer using Keras and Tensorflow.

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

1. Tensorflow
2. Keras
3. Numpy
4. Scipy

Results

• Content Image + Style Image = Style Transferred Image

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

Resources

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/