https://github.com/muntahashams/style-transfer
In this notebook, we’ll recreate a style transfer method that is outlined in the paper, Image Style Transfer Using Convolutional Neural Networks, by Gatys in PyTorch.
https://github.com/muntahashams/style-transfer
cnn deep-learning machine-learning pytorch style-transfer style-transfer-algorithms style-transfer-cnn
Last synced: 3 months ago
JSON representation
In this notebook, we’ll recreate a style transfer method that is outlined in the paper, Image Style Transfer Using Convolutional Neural Networks, by Gatys in PyTorch.
- Host: GitHub
- URL: https://github.com/muntahashams/style-transfer
- Owner: MuntahaShams
- Created: 2020-04-17T14:13:06.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-21T21:56:25.000Z (about 5 years ago)
- Last Synced: 2025-01-13T11:29:44.102Z (4 months ago)
- Topics: cnn, deep-learning, machine-learning, pytorch, style-transfer, style-transfer-algorithms, style-transfer-cnn
- Language: Jupyter Notebook
- Size: 4.18 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Style-Transfer-Deep-learning
As an example of the kind of things you'll be building with deep learning models, here is a really fun project, fast style transfer. Style transfer allows you to take famous paintings, and recreate your own images in their styles! The network learns the underlying techniques of those paintings and figures out how to apply them on its own. This model was trained on the styles of famous paintings and is able to transfer those styles to other images
In this notebook, we’ll recreate a style transfer method that is outlined in the paper, Image Style Transfer Using Convolutional Neural Networks, by Gatys in PyTorch.