7 datasets found

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

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

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...