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APLICATIONS

SinGAN: Learning a Generative Model from a Single Natural Image

(Submitted on 2 May 2019 (v1), last revised 4 Sep 2019 (this version, v2)) Abstract: We introduce SinGAN, an unconditional generative model that can be learned from a single natural image. Our model is trained to capture the internal distribution of patches within the image, and is then able to generate high quality, diverse samples…

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