SCGN: novel generative model using the convergence of latent space by training-Reference-Cited by-同舟云学术

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SCGN: novel generative model using the convergence of latent space by training

Published:2020-08 Issue:17 Volume:56 Page:879-881
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Kim H.¹,Jung S.H.²

Affiliation:

1. Department of Industrial and Management EngineeringHansung UniversityRepublic of Korea

2. Division of Mechanical and Electronics EngineeringHansung University116 Samseongyoro‐16gil Seongbuk‐guSeoul02876Republic of Korea

Funder

Hansung University

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2020.1333

Reference9 articles.

1. Berthelot D. Schumm T. Metz L.: ‘Began: boundary equilibrium generative adversarial networks’. arXiv preprint arXiv:1703.10717 2017

2. Zhao S. Song J. Ermon S.: ‘Towards deeper understanding of variational autoencoding models’. arXiv preprint arXiv:1702.08658 2017

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