The biggest casualty to AI won't be jobs, but the final and complete eradication of trust in anything you see or hear.
Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains. Since there exists an infinite set of joint distributions that can arrive the given marginal distributions, one could infer nothing about the joint distribution from the marginal distributions without additional assumptions. To address the problem, .... read more at http://research.nvidia.com/publication/2017-12_Unsupervised-Image-to-Image-Translation
Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains. Since there exists an infinite set of joint distributions that can arrive the given marginal distributions, one could infer nothing about the joint distribution from the marginal distributions without additional assumptions. To address the problem, .... read more at http://research.nvidia.com/publication/2017-12_Unsupervised-Image-to-Image-Translation
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