InGAN: Capturing and Retargeting the "DNA" of a Natural Image

ICCV 2019 Assaf Shocher Shai Bagon Phillip Isola Michal Irani

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... (read more)

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