5 datasets found

Groups: Image Super-Resolution Organizations: No Organization Formats: JSON

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  • 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....