The Synthesis of Unpaired Underwater Images Using a Multistyle Generative Adversarial Network
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DOI: 10.1109/access.2018.2870854
Abstract: Underwater image datasets are crucial in underwater vision research. Because of the strong absorption and scattering effects that occur underwater, some ground truth such as the depth map, which can be easily collected in-air, becomes… read more here.
Keywords: air images; generative adversarial; adversarial network; underwater images ... See more keywords