It takes (only) two: adversarial generator-encoder networks

It takes (only) two: adversarial generator-encoder networks

We present a new autoencoder-type architecture that is trainable in an unsupervised mode, sustains both generation and inference, and has the quality of conditional and unconditional samples boosted by adversarial learning. Unlike previous hybrids of autoencoders and adversarial networks, the advers...

書目詳細資料
Main Authors:	Ulyanov, D, Vedaldi, A, Lempitsky, V
格式:	Conference item
出版:	Association for the Advancement of Artificial Intelligence 2018

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