Few-Shot Unsupervised Image-to-Image Translation

ICCV 2019 Ming-Yu LiuXun HuangArun MallyaTero KarrasTimo AilaJaakko LehtinenJan Kautz

Unsupervised image-to-image translation methods learn to map images in a given class to an analogous image in a different class, drawing on unstructured (non-registered) datasets of images. While remarkably successful, current methods require access to many images in both source and destination classes at training time... (read more)

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