Hi everyone! I recently implemented BiGAN in Keras, with some modifications (hinge loss, gradient penalty, etc.). Then, with that, I made a script to find similarities in r/EarthPorn images using BiGAN’s encoder, as well as clustering images using k-means clustering in the feature space. I’ve uploaded my code to github aswell.

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Here is an image, on the left are target images, and on the right are the 7 most “similar” images in the dataset, in order.

https://i.imgur.com/owXSkXf.png

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Here is another, where each row is a cluster, detecting by k-means in the encoder’s feature space.

https://i.imgur.com/wgiKuiK.png

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Lastly, here is another image. On the top are images generated by BiGAN. On the bottom are real images of landscapes (1st and 3rd row) and their reconstruction using BiGAN’s E and G (2nd and 4th row).

https://i.imgur.com/lcUzGZk.png

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Github implementation:

https://github.com/manicman1999/Keras-BiGAN

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Enjoy!