53 datasets found

The proposed StableVSR is built upon a pre-trained Latent Diffusion Model (LDM) for single image super-resolution (SISR). We use Stable Diffusion ×4 Upscaler (SD×4Upscaler)2. It...

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 proposed framework for leveraging the semantic segment without transferring any extra bit.

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 proposed deep multiple description coding framework is evaluated on several commonly available datasets, including Set41, McMaster2, Kodak PhotoCD dataset, denoted as...

Object detection is one of the most foundational computer vision task and is essential for many real-world applications. The object detection pipeline has been developed...

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...