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Fig. 1.
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Architecture of the WDSR convolutional neural network for upsampling factor ×4. All of the feature maps in each convolutional layer have the size H × W, which is the same as that of the input images. For upscaling factor ×S (×4), the number of channels used as the input for the Pixel-Shuffle layer is exactly S2 (16).
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