Single-Image Super-Resolution - Groups

Manga109 dataset

Manga109 dataset is a benchmark for Single Image Super-Resolution (SISR) tasks. It contains 109 manga images with randomly selected reference images.

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BSD100

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

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Ntire 2017 challenge on single image super-resolution: Dataset and study

Ntire 2017 challenge on single image super-resolution: Dataset and study.

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NTIRE 2017 Challenge on Single Image Super-Resolution

A dataset for single image super-resolution, containing 20 algorithm submissions.

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Set14

Implicit neural representation, which expresses an image as a continuous function rather than a discrete grid form, is widely used for image processing. The dataset used in this...

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DIV2K

Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....

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