15 datasets found

The Open Turbulent Image Set (OTIS) dataset contains images of turbulent scenes.

The TMT dataset consists of static and dynamic parts. The static part is synthesized using the place dataset [58] for static scenes. The dynamic part is generated using the...

The dataset used in the Generative Diffusion Prior for unified image restoration and enhancement.

A dataset for image restoration in phase mask based anti-dazzle imaging systems.

SandPascal VOC++ dataset is a synthetic dataset for sand dust image restoration tasks, containing three forms of sand.

The dataset used in the paper for image denoising and image restoration tasks.

The Restore Dataset is a benchmark for general image restoration, containing 8000 images with various degradations.

Cryo-CARE: a method for content-aware image restoration for cryo-transmission electron microscopy data

A large-scale dataset for descanning, which is the process of restoring original images from scanned copies.

The proposed system is composed of three neural networks (NN): an auto-regressive module (ARM) fψ, an upsampler fυ and a synthesis fθ.

The CTFilm20K dataset is a large-scale head CT film database containing approximately 20,000 pictures, with various real-world warping scenarios and different contents.

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

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....

The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...