Corpus ID: 174797842

Generative Adversarial Networks: A Survey and Taxonomy

@article{Wang2019GenerativeAN,
  title={Generative Adversarial Networks: A Survey and Taxonomy},
  author={Zhengwei Wang and Qi She and T. Ward},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.01529}
}
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably the revolutionary techniques are in the area of computer vision such as plausible image generation, image to image translation, facial attribute manipulation and similar domains. Despite the significant success achieved in the computer vision field, applying GANs to real-world problems still poses significant challenges, three of which we focus on here: (1) High quality image generation; (2… Expand
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