https://github.com/olaviinha/neuralstyletransfer
Colabs for Neural Style Transfer.
https://github.com/olaviinha/neuralstyletransfer
artificial-neural-networks colab image-processing
Last synced: 11 months ago
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Colabs for Neural Style Transfer.
- Host: GitHub
- URL: https://github.com/olaviinha/neuralstyletransfer
- Owner: olaviinha
- Created: 2020-07-26T13:41:33.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-07-02T07:46:03.000Z (almost 5 years ago)
- Last Synced: 2025-04-04T15:39:34.483Z (about 1 year ago)
- Topics: artificial-neural-networks, colab, image-processing
- Language: Jupyter Notebook
- Homepage:
- Size: 81.1 KB
- Stars: 4
- Watchers: 0
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Neural Style Transfer (Colabs)
User-friendly Colab notebooks for Neural Style Transfer. Both notebooks are fully functional in Google Colab as of Jun 2021. The notebook for _style-transfer-pytorch_ is capable of producing larger images, as well as running **considerably faster** than the notebook for _Neural Style Transfer & Neural Doodles_. The notebooks produce quite different results though, so if you're not in a hurry, you may want to take both for a spin.
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## Latest: style-transfer-pytorch
**Colab for:** [style-transfer-pytorch](https://github.com/crowsonkb/style-transfer-pytorch) (more precisely [this fork](https://github.com/olaviinha/style-transfer-pytorch))
**Paper:** A Neural Algorithm of Artistic Style https://arxiv.org/abs/1508.06576
This noteook is a **batch processor**: instead of individual images, it takes **directories** of content images and style images, and styles each content image with each style image in the directories, saving output images to output directory.
[](https://colab.research.google.com/github/olaviinha/NeuralStyleTransfer/blob/master/NeuralStyleTransfer_crowsonkb.ipynb)

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## Older
**Colab for:** [Neural Style Transfer & Neural Doodles](https://github.com/titu1994/Neural-Style-Transfer)
**Paper:** A Neural Algorithm of Artistic Style https://arxiv.org/abs/1508.06576
This noteook is a **batch processor**: instead of individual images, it takes **directories** of content images and style images, and styles each content image with each style image in the directories, saving output images to output directory.
[](https://colab.research.google.com/github/olaviinha/NeuralStyleTransfer/blob/master/NeuralStyleTransfer_titu1994.ipynb)
