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Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
[article]
2019
arXiv
pre-print
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into enhanced images in the absence of input-output image pairs. Our method is based on generative adversarial networks (GANs), but instead of simply generating images with a neural network, we enhance images utilizing image editing software such as Adobe Photoshop for the following three benefits: enhanced images have no artifacts, the same enhancement can be applied to larger
arXiv:1912.07833v1
fatcat:hrjmzvsshjaw3isf3qhg5sfbnq