AdaIN Style Transfer
Style transfer is a machine learning technique that transfers the “style” of one image to the “content” of another image.
This is a pytorch implementation of Adaptive Instance Normalization (AdaIN) arbitrary style transfer, as outlined in Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization by Xun Huang and Serge Belongie. The architecture of this method of style transfer is shown below:
A pytorch implementation of A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge was also completed to serve as a method for comparison. A grid of comparison is shown below:
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