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Found 2 papers, 1 papers with code
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
Generative Adversarial Networks (GANs) are a powerful class of generative models.
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality
In this paper, we demonstrate that an intrinsic dimensional characterization of the data space learned by a GAN model leads to an effective evaluation metric for GAN quality.
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