What deep generative models can do with images

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The modern generative models take a latent code and generate a naturalistic image. These latent codes appear to have a natural geometry, and once we drag them, this induces meaningful image manipulation.
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Images transformation after application of one of our methods.

First paper

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Some of the image transformations discovered by our method.

Second paper

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Some of the image manipulation achieved by a generative model weights change. Notably, some of them are unreachable by latent code shifts.

Third paper

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This picture shows how we generate saliency masks. The model allows us to synthesize a pair of images with the same content and a highlighted object on one of them. A simple color intensity comparison gives us the mask.