BEGAN v3: Avoiding Mode Collapse in GANs Using Variational Inference

• Published in: Electronics (Basel) Vol. 9; no. 4; p. 688
• Main Authors: Park, Sung-Wook, Huh, Jun-Ho, Kim, Jong-Chan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2020
• Subjects: Computer vision; Deep learning; Machine learning; Neural networks; Probability distribution; Synthesis

In the field of deep learning, the generative model did not attract much attention until GANs (generative adversarial networks) appeared. In 2014, Google’s Ian Goodfellow proposed a generative model called GANs. GANs use different structures and objective functions from the existing generative model...