SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets

We proposed a novel generative adversarial net called similarity constraint generative adversarial network (SCGAN), which is capable of learning the disentangled representation in a completely unsupervised manner. Inspired by the smoothness assumption and our assumption on the content and the repres...

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Váldodahkkit:	Xiaoqiang Li, Liangbo Chen, Lu Wang, Pin Wu, Weiqin Tong
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2019-01-01
Ráidu:	IEEE Access
Fáttát:	Generative adversarial nets representation learning unsupervised learning
Liŋkkat:	https://ieeexplore.ieee.org/document/8476290/
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