Content Manipulation

Exploiting the modularity of deep networks to generate visual counterfactuals
Deep generative models can emulate the perceptual properties of complex image datasets, providing a latent representation of the data. …
Michel Besserve, Arash Mehrjou, Remy Sun, Bernhard Schölkopf
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Intrinsic disentanglement an invariance view for deep generative models
Deep generative models such as Generative Adversarial Networks (GANs) and Variational AutoEncoders (VAEs) are important tools to …
Michel Besserve, Remy Sun, Bernhard Schölkopf
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