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.
- Tensorflow
- Keras
- Numpy
- Scipy
- 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)
| 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/ |