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

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 pro...

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Bibliographic Details
Main Authors: Shocher, Assaf (Author), Bagon, Shai (Author), Isola, Phillip John (Author), Irani, Michal (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-01-05T20:02:11Z.
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