35 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Flicker2W and LIU4K as their training sets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal...

CLIC 2019 Professional dataset

Variable rate deep image compression with modulated autoencoder

The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images.

The dataset is a collection of 256x256 pixel images.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the OpenImages dataset to train their models.

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

The dataset used in this paper is based on the Solar Dynamics Observatory (SDO) images described in the work of Galvez et al. The dataset consists of images of the Sun captured...

The Flickr30k dataset is widely utilized for image caption and image-text retrieval tasks, providing a substantial collection of images with associated captions.

The CLIC 2021 dataset is a collection of images for image compression tasks.

The Kodak PhotoCD dataset is a collection of 1000 images for image compression tasks.

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...

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....

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...