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Although Generative Adversarial Networks (GANs) have shown remarkable success in various tasks, they still face challenges in generating high quality images.
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Improved techniques for training GANs
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StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks
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Energy-based generative adversarial network
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Progressive growing of gans for improved quality, stability, and variation
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