Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate models. Accordingly, we propose a highly-applicable framework called FunSR, which settles unified model by exploiting context interaction within implicit function space. FunSR composes functional representor, interactor, p...