71 datasets found

Groups: Image Super-Resolution

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  • Cai et al. RealSR dataset

    Real-world super-resolution (RealSR) dataset by capturing the LR-HR image pairs on the same scene with different focal lengths of a digital camera.

  • 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.

  • DRealSR

    Real-world super-resolution (RealSR) dataset by adjusting the focal length of a digital camera, and introducing the Laplacian pyramid based kernel prediction network (LP-KPN) to...

  • RealSR

    The RealSR dataset contains 595 pairs of HR and LR images captured by adjusting focal length through Canon and Nikon DSLR cameras.

  • Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Persona...

    Realistic image super-resolution (Real-ISR) and image stylization

  • 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....

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.