Rethinking Image Super-Resolution from Training Data Perspectives

Go Ohtani, Ryu Tadokoro, Ryosuke Yamada +7

In this work, we investigate the understudied effect of the training data used for image super-resolution (SR). Most commonly, novel SR methods are developed and benchmarked on com…