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GAN: Is Diffusion All You Need?
Eight years ago, emerged one of the most promising approaches to generative modeling: Generative Adversarial Networks (GAN) . Since then, a commensurate amount of progress has been made in the technics and results obtained. These models went from generating blurry faces to high-definition realistic pictures having different constraints.Samples generated from the model (amazon-research/gan-control: This package provides a pythorch implementation of “GAN-Control: Explicitly Controllable GANs”, …