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The dataset proposes the use of a Deep Laplacian Pyramid Super-Resolution Network for fast and accurate super-reslution transformation of images. Using multiple pyramid levels, the network reconstructs progressively the sub-band residuals of high-resolution images.
Research that uses Set5 Super Resolution Dataset
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Meta Learning Backpropagation And Improving It
12/29/2020 ∙ by Louis Kirsch ∙
91
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Deep Learning-based Face Super-resolution: A Survey
01/11/2021 ∙ by Junjun Jiang ∙
71
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Persistent Anti-Muslim Bias in Large Language Models
01/14/2021 ∙ by Abubakar Abid ∙
65