Abstract: Conventional deep learning-based methods for single remote sensing image super-resolution (SRSISR) have made remarkable progress. However, the super-resolution (SR) outputs of these methods ...
Abstract: Image super-resolution (SR) is an effective way to enhance the spatial resolution and detail information of remote sensing images to obtain a superior visual quality. As SR is severely ...
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This work presents GSASR. It achieve SoTA in arbitrary-scale super-resolution by representing given LR image as millions of continuous 2D Gaussians.