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IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

Neural Information Processing Systems

We present a novel introspective variational autoencoder (IntroVAE) model for synthesizing high-resolution photographic images. IntroVAE is capable of selfevaluating the quality of its generated samples and improving itself accordingly.