17 datasets found

The dataset used for testing the proposed network.

The proposed network is used for image restoration with unknown degradation factors.

A large-scale, high-quality dataset for image restoration, containing 50,000 high-quality images with rich texture details and semantic diversity.

The Flare7K++ dataset is an extension of the Flare7K dataset, consisting of 5,000 images of scattering flare and 2,000 images of reflective flare.

The Flare7K dataset is a synthetic dataset for lens flare removal, consisting of 5,000 images of scattering flare and 2,000 images of reflective flare.

The dataset used in this paper is Poisson inverse problems involving the Poisson data-fidelity term f introduced in (2).

The CU-Mamba model is used for image restoration, and the authors tested it on the SIDD and DND datasets.

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

Validation set for image restoration

WebPhoto dataset for image restoration

A dataset for image restoration

A strong prompter for all-in-one image restoration

The dataset used in the Plug-and-Play algorithm convergence analysis.

The SwinIR dataset is a benchmark for image restoration.

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...

Optical coherence tomography (OCT) dataset used for denoising and image restoration.

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....