6 datasets found

The proposed DRFN for large-scale accurate SISR. The dataset used for training and testing is RFL, VDSR, and Berkeley Segmentation Dataset.

The dataset consists of 100 images with varying sizes.

The authors present a photorealistic text-to-image diffusion model with deep language understanding.

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.