https://github.com/vpanjeta/style-transfer

A deep learning model using keras to transfer the style of a texture or a famous painter to a base image
https://github.com/vpanjeta/style-transfer

cnn-keras deep-learning deep-neural-networks deeplearning jupyter-notebook style-transfer

Last synced: about 2 months ago
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A deep learning model using keras to transfer the style of a texture or a famous painter to a base image

• Host: GitHub
• URL: https://github.com/vpanjeta/style-transfer
• Owner: VPanjeta
• Created: 2017-07-17T14:59:47.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-07-19T17:08:24.000Z (over 7 years ago)
• Last Synced: 2024-01-08T02:11:00.886Z (12 months ago)
• Topics: cnn-keras, deep-learning, deep-neural-networks, deeplearning, jupyter-notebook, style-transfer
• Language: Jupyter Notebook
• Size: 3.22 MB
• Stars: 6
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Style-Transfer

This project is inpired by Siraj Raval's [tutorial](https://www.youtube.com/watch?v=YoBEGQD3LCc) on style transfer.

## Overview

The given project transfers the style or stroke sense of a given image to a base image. This can be used to regenerate images using the stroking sytle of famous artists. 


For details check the ipython notebok.