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Unofficial PyTorch implementation of the Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization paper

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Adaptive Instance Normalization

Description

Unofficial implementation of Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization written in PyTorch together with code for training the network and its simple usage.

Some qualitative examples

Usage

You only need to be familiar with two files to use this tool:

  1. inference.ipynb contains some simple examples of style transfer, it is the basic file for image processing
  2. train.ipynb trains the model from scratch. Use it if you want to customize the training process for yourself

Adaptations of these notebooks for Google Colab are contained in the colab folder.

Installation

You need to have Python 3.11+ and run the following commands:

git clone https://github.com/tejpaper/AdaIN.git
cd AdaIN
pip install -r requirements.txt

License

MIT

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Unofficial PyTorch implementation of the Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization paper

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