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NoisyOffice dataset
The proposed model EraseNet is evaluated on two datasets: NoisyOffice dataset and a custom dataset created in-house. -
RESIDE-β Dataset
The dataset used for testing the proposed network. -
Restoring Images with Unknown Degradation Factors
The proposed network is used for image restoration with unknown degradation factors. -
Poisson Inverse Problems
The dataset used in this paper is Poisson inverse problems involving the Poisson data-fidelity term f introduced in (2). -
CU-Mamba: Selective State Space Models with Channel Learning for Image Restor...
The CU-Mamba model is used for image restoration, and the authors tested it on the SIDD and DND datasets. -
Image Inpainting
The CelebAHQ dataset was used with a fixed removal mask located near the image centers [11]. -
Mix Degradations datasets
A dataset for image restoration -
ConStyle v2: A Strong Prompter for All-in-One Image Restoration
A strong prompter for all-in-one image restoration -
URHI dataset
The dataset used for testing the proposed T-Net and Stack T-Net for single image dehazing. -
SOTS dataset
The dataset used for training and testing the proposed T-Net and Stack T-Net for single image dehazing. -
Flickr2K dataset
The Flickr2K dataset is a low-resolution image dataset used for image super-resolution tasks. -
DIV2K+Flickr2K dataset
Dataset for single image super-resolution
