Generative adversarial networks for image synthesis

Han Zhang
Image synthesis is an important problem in computer vision and has many applications, such as computer-aided design and photo-editing. There has been remarkable progress in this direction with the emergence of Generative Adversarial Networks (GANs). However, GANs still face many challenges in generating high quality images: the difficulty of directly approximating the high-resolution image distribution, the poor model generalization ability to datasets with multiple classes, the frequent occurrences of mode collapse and unstable training are...
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