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Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
There exist many forms of deep latent variable models, such as the variational autoencoder and adversarial autoencoder.
Variational Autoencoders with Normalizing Flow Decoders
Recently proposed normalizing flow models such as Glow have been shown to be able to generate high quality, high dimensional images with relatively fast sampling speed.
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