Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

Most of the existing learning-based single image super-resolution (SISR) methods are trained and evaluated on simulated datasets, where the low-resolution (LR) images are generated by applying a simple and uniform degradation (i.e., bicubic downsampling) to their high-resolution (HR) counterparts. H...

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Bibliographic Details
Published inProceedings / IEEE International Conference on Computer Vision pp. 3086 - 3095
Main Authors Cai, Jianrui, Zeng, Hui, Yong, Hongwei, Cao, Zisheng, Zhang, Lei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
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