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InGAN: Capturing and Remapping the "DNA" of a Natural Image.

arXiv: Computer Vision and Pattern Recognition, (2019)

被引用61|浏览110
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Generative Adversarial Networks (GANs) typically learn a distribution of images in a large image dataset, and are then able to generate new images from this distribution. However, each natural image has its own internal statistics, captured by its unique distribution of patches. In this paper we propose an "Internal GAN" (InGAN) - an im...更多

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