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Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze

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The Early Fiction of H.G. Wells network. By combining both modalities, we build a pipeline that learns to super-resolve using multi-scale spectral inputs guided by a color image. Finally, we validate our method and show that it is economic in terms of parameters and computation time, while still producing state-of-the-art results
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Law and Religion in Early Critical Theory. Benefiting from these improvements, the proposed ESRGAN achieves consistently better visual quality with more realistic and natural textures than SRGAN and won the first place in the PIRM2018-SR Challenge (region 3) with the best perceptual index. The code is available at ..
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Palgrave Studies in Political Historyt and input, we use weighted L1 loss to increase PSNR. To improve image quality, we use adversarial loss, contextual loss and perceptual loss as parts of the objective functions during training. And NIQE is used for validation to get the best parameters for perceptual quality. Experiments show that,
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