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Neural-Style-Transfer-of-Artistic-Style

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 Google Colaboratory Online GPU.

Requirements

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

Results

  • Content Image + Style Image = Style Transferred Image

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/

Contributing