https://github.com/97k/styler
Implementation of Image Style Transfer Using Convolutional Neural Networks, Paper by Gatys, Ecker, Bethge
https://github.com/97k/styler
deep-learning pytorch-implmention styletransfer vgg19
Last synced: 3 months ago
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Implementation of Image Style Transfer Using Convolutional Neural Networks, Paper by Gatys, Ecker, Bethge
- Host: GitHub
- URL: https://github.com/97k/styler
- Owner: 97k
- Created: 2019-01-23T17:57:03.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-25T06:18:05.000Z (over 6 years ago)
- Last Synced: 2025-01-09T06:28:59.243Z (4 months ago)
- Topics: deep-learning, pytorch-implmention, styletransfer, vgg19
- Language: Jupyter Notebook
- Homepage: https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf
- Size: 2.59 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Styler
Make Neural Net, paint for you!
Styler is a deep learning tool, in which style of one image is applied on style of another image!
#### It is based on transfer learning, and it is implementation of the research paper ["Image Style Transfer by CNN"](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf)I experimented it on Taj Mahal, and I'm attacing the styled version of it, that is output from the pretrained vgg19 after moulding it according to the paper.
## Result!
### Final Image, One that vgg19 painted!
> This styled image is generated with help of a content and a style image.
### Content Image
### Style Image
### Want to experiment?
### Clone**1.)** Clone the repository by using this link :
```
$ git clone https://github.com/aditya98ak/Styler.git
```### Experiment
**2.)**
For better peformance upload the noeboook on [googlecolab](https://colab.research.google.com) and start experimenting, for example Change the style image, change the weights etc.
It's fun!---
Built with ♥ by Aditya Kaushik([@aditya98ak](https://github.com/aditya98ak))
Thanks to [udacity](udacity.com)! For introducing me to Style Transfer.