Semantic super-resolution: When and where is it useful?

•We highlight the need for and advantages of using semantic information for single-image super-resolution.•Two well-known state-of-the-art methods and one baseline method are extended to use this semantic information.•We give a theoretical analysis and explore the practical benefits on three different datasets.