75 datasets found

A dramatic influx of diffusion-generated images has marked recent years, posing unique challenges to current detection technologies.

The Synthetic HDC dataset is a collection of synthetic sharp images, blurred and distorted using the estimated forward model.

The dataset used in this paper is Stable Diffusion 2, a popular diffusion model for image synthesis.

A dataset of synthetic photorealistic images for training and testing material-aware diffusion models

Diffusion models have recently emerged as the state-of-the-art of generative modeling, demonstrating remarkable results in image synthesis and across other modalities.

Large-scale text-to-image generation models have achieved remarkable progress in synthesizing high-quality, feature-rich images with high resolution guided by texts.

The dataset used in the paper is LAION-2B, which is a large-scale image-text dataset. The authors fine-tune a pre-trained diffusion model with a subset of LAION-2B with 10k...

Face swapping aims at injecting a source image’s identity (i.e., facial features) into a target image, while strictly preserving the target’s attributes, which are irrelevant to...

Text-conditioned image generation has made significant progress in recent years with generative adversarial networks and more recently, diffusion models. The proposed guidance...

Moongate dataset consists of images of a moongate.

The CustomConcept101 dataset is a dataset of 101 concepts across 16 broader categories, used for evaluating personalization approaches in text-to-image diffusion models.

ICDAR2015 dataset consists of 1,670 images (17,548 annotated text regions) acquired using the Google Glass.

ICDAR2013 dataset is obtained from the Robust Reading Challenges 2013.

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

A dataset for refining malformed hands with decoupled structure and style guidance.

A dataset for refining malformed hands with decoupled structure and style guidance.

A dataset for refining malformed hands with decoupled structure and style guidance.

A dataset for refining malformed hands with decoupled structure and style guidance.

The authors used MNIST, SVHN, and CIFAR10 datasets for their experiments.

A dataset for analyzing and improving the image quality of StyleGAN.