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This paper proposes a new model for single image super-resolution (SR) task by utilizing the design of densely connected convolutional networks (DenseNet). The proposed method is an end-to-end model which is able to learn mapping between low- and high-resolution images. The proposed method takes the low-resolution images as input and generates its high-resolution version. Unlike those conventional...
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