![]() ![]() We present an approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples. However, for many tasks, paired training data will not be available. ![]() ![]() Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.
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