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...
Main Authors: | Ulyanov, D, Vedaldi, A, Lempitsky, V |
---|---|
Format: | Conference item |
Udgivet: |
Association for the Advancement of Artificial Intelligence
2018
|
Lignende værker
-
Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
af: Ulyanov, D, et al.
Udgivet: (2017) -
Texture networks: Feed-forward synthesis of textures and stylized images
af: Ulyanov, D, et al.
Udgivet: (2016) -
Deep image prior
af: Ulyanov, D, et al.
Udgivet: (2018) -
Deep image prior
af: Ulyanov, D, et al.
Udgivet: (2020) -
The devil is in the details: an evaluation of recent feature encoding methods
af: Chatfield, K, et al.
Udgivet: (2011)