Spectral regularization for combating mode collapse in GANs
نویسندگان
چکیده
منابع مشابه
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Deep generative models provide powerful tools for distributions over complicated manifolds, such as those of natural images. But many of these methods, including generative adversarial networks (GANs), can be difficult to train, in part because they are prone to mode collapse, which means that they characterize only a few modes of the true distribution. To address this, we introduce VEEGAN, whi...
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ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 2020
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2020.104005