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The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation #80

Open AkiraTOSEI opened 4 years ago

AkiraTOSEI commented 4 years ago

TL;DR

Domain transformation by GAN relies on localized bias, and even simple entire image change tasks (e.g., flipping up and down) fail. They found that even linear transformations alone can work well for those tasks if the transformation is done in a way that does not depend on localization (e.g., PCA). image

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Paper URL

https://arxiv.org/abs/2007.12568

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