12 datasets found

High-resolution image synthesis with latent diffusion models.

The DSIFN-CD dataset is a collection of high-resolution images with seasonal changes in different cities.

The WHU building dataset focuses on the changes in buildings and contains one pair of very high-resolution images sized 32507x15354 pixels with a spatial resolution of 0.075 m...

The CDD dataset is a collection of remote sensing images with seasonal changes and different lighting conditions.

The dataset used for training the RWKV-SAM model, containing 242K images, including COCO labeled and unlabelled images, EntitySeg dataset with 30k high-resolution images...

The FFHQ dataset is a large dataset of high-quality face images with 1024 × 1024 resolution with variations in age, gender, and glasses.

The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.

The dataset used in the paper is a high-resolution image synthesis dataset, which consists of images generated using a latent diffusion model.

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.

The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...

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...