12 datasets found

Tags: Single Image Super-Resolution

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  • Manga109 dataset

    Manga109 dataset is a benchmark for Single Image Super-Resolution (SISR) tasks. It contains 109 manga images with randomly selected reference images.
  • Ntire 2017 challenge on single image super-resolution: Methods and results

    The Ntire 2017 challenge on single image super-resolution: Methods and results.
  • BSDS100

    The dataset used for testing the proposed Multi-scale Dense Cross Network (MDCN) for image super-resolution.
  • Ntire 2017 challenge on single image super-resolution: Dataset and study

    Ntire 2017 challenge on single image super-resolution: Dataset and study.
  • Flickr2K dataset

    The Flickr2K dataset is a low-resolution image dataset used for image super-resolution tasks.
  • DIV2K+Flickr2K dataset

    Dataset for single image super-resolution
  • Manga109

    The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.
  • Urban100

    The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.
  • B100

    The dataset used for training and testing the proposed Incremental Residual Learning (IRL) framework.
  • 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...
  • Set5

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