DRLN uses residual-on-residual cascading, dense block concatenation, and Laplacian attention to learn multi-scale features for super-resolution with claimed favorable results on standard benchmarks.
Enhanced deep residual networks for single image super-resolution,
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Densely Residual Laplacian Super-Resolution
DRLN uses residual-on-residual cascading, dense block concatenation, and Laplacian attention to learn multi-scale features for super-resolution with claimed favorable results on standard benchmarks.