Reproducing AmbientGAN: Generative models from lossy measurements

23 Oct 2018Mehdi AhmadiTimothy NestMostafa AbdelnaimThanh-Dung Le

In recent years, Generative Adversarial Networks (GANs) have shown substantial progress in modeling complex distributions of data. These networks have received tremendous attention since they can generate implicit probabilistic models that produce realistic data using a stochastic procedure... (read more)

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