Style transfer for MNIST digits

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My student has re-implemented the algorithm for learning representations of images invariant to the label from "Invariant Representations without Adversarial Training" (NIPS'18). The algorithm is described in detail in Dan Moyer's blog post. In short, it is an autoencoder which "splits" the information about the image into two parts: information about the label vs. the rest. This remaining information can be interpreted as the "style" and can be used to generate an image with another label=digit. The algorithm has access to the original labels of images, but no other supervision (e.g. stylistic features) is given.


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