9 datasets found

The dataset used for training and testing the proposed Multi-scale Dense Cross Network (MDCN) for image super-resolution.

The BasicVSR++ dataset contains videos of scenes with various levels of degradation.

The dataset used for testing the proposed Multi-scale Dense Cross Network (MDCN) for image super-resolution.

The dataset contains 1560 image pairs, focusing on the coexistence of adherent mist and raindrops.

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

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

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...

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

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....