Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning

This paper describes a new image generation algorithm based on generative adversarial network. With an information-theoretic extension to the autoencoder-based discriminator, this new algorithm is able to learn interpretable representations from the input images. Our model not only adversarially min...

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Detalles Bibliográficos
Autores principales: Hah, Junghoon, Lee, Woojin, Lee, Jaewook, Park, Saerom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207896/
https://www.ncbi.nlm.nih.gov/pubmed/30416519
http://dx.doi.org/10.1155/2018/6465949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207896/
https://www.ncbi.nlm.nih.gov/pubmed/30416519
http://dx.doi.org/10.1155/2018/6465949

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