Pioneer Networks: Progressively Growing Generative Autoencoder

9 Jul 2018 Ari Heljakka Arno Solin Juho Kannala

We introduce a novel generative autoencoder network model that learns to encode and reconstruct images with high quality and resolution, and supports smooth random sampling from the latent space of the encoder. Generative adversarial networks (GANs) are known for their ability to simulate random high-quality images, but they cannot reconstruct existing images... (read more)

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Methods used in the Paper


METHOD TYPE
AutoEncoder
Generative Models