9 datasets found

The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy...

MNIST, Kuzushiji, Fashion and EMNIST datasets

CIFAR-10 32x32, ImageNet 64x64, FFHQ 64x64, and AFHQ-v2 64x64 datasets.

Dayton and CVUSA datasets for cross-view image translation

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

The dataset used for artistic style transfer tasks, including artwork-artwork, photo-to-artwork, and artwork-to-photo.

Large-scale vision-and-language models trained on curated and web-scrapped data have led to significant improvements over task-specific models when transferred to downstream...

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...