Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss
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DOI: 10.1109/tsp.2020.2979601
Abstract: Filtering out unrealistic images from trained generative adversarial networks (GANs) has attracted considerable attention recently. Two density ratio based subsampling methods—Discriminator Rejection Sampling (DRS) and Metropolis-Hastings GAN (MH-GAN)—were recently proposed, and their effectiveness in improving… read more here.
Keywords: generative adversarial; loss; density; density ratio ... See more keywords