88 datasets found

A dataset for training the ArtScore model

A dataset for training the ArtScore model

A dataset for training the ArtScore model

A dataset for evaluating the artness of AI-generated images

A dataset of stochastic moving MNIST, consisting of sequences of 15 frames of size 64x64.

The dataset used in the paper is a benchmark dataset for diffusion models, specifically denoising diffusion probabilistic models (DDPM). The dataset consists of images from...

This dataset contains images generated by various text-to-image models, including Stable Diffusion 1.4, Stable Diffusion 2.1, Stable Diffusion XL, and DeepFloyd IF.

Diffusion models (DMs) have revolutionized image generation, producing high-quality images with applications spanning various fields. However, their ability to create...

CelebAHQ is a dataset of celebrity faces, with 30,000 images of 10,000 celebrities.

The dataset is generated using a latent diffusion model, specifically Stable Diffusion 2.1, and is used for semantic segmentation tasks.

Anime Faces is a dataset of 50,000 64x64 RGB images of anime faces.

Few-shot Image Generation with Reptile (FIGR) is a GAN meta-trained with Reptile. Our model successfully generates novel images on both MNIST and Omniglot with as little as 4...

The dataset used in the paper is the Flickr-Faces-HQ Dataset (FFHQ) and CelebA dataset.

The AmbientGAN model adapts the original GAN configuration to handle cases with noisy or incomplete samples.

Generative Autoencoding of Dropout Patterns

Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such...

Model inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model.

The dataset used in this paper is a mixture of Gaussian distributions (MoG) with 4 components, each with a 2D Gaussian distribution with means [-1, -1], [-1, 1], [1, 1], [1, -1]...

A synthetic image dataset generated with Stable Diffusion using the Wordnet taxonomy and the definitions of concepts it contains.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a large-scale captioned image dataset (LAION) used to train the Stable Diffusion model.