76 datasets found

The VBCDE-100 dataset is a comprehensive dataset containing 100 sensitive prompts spread across five categories: violence, gore, illegal activities, discrimination, and...

Generating photo-realistic images from a text description is a challenging problem in computer vision. Previ- ous works have shown promising performance to generate synthetic...

Scaling autoregressive models for content-rich text-to-image generation.

The dataset used in this paper is a text-to-image diffusion model, specifically Stable Diffusion v1-5.

The dataset used for text-to-image diffusion models, including Bluefire, Paintings, 3D, and Origami styles.

The HPSv2 dataset is a text-image pair dataset containing 3200 prompts and their corresponding images.

The Stable Diffusion Model (SDM) is a preva- lent and effective model for text-to-image (T2I) and image-to-image (I2I) generation.

Text-to-Image Diffusion Models (T2I DMs) have garnered significant attention for their ability to generate high-quality images from textual descriptions. However, these models...

Text-to-Image Diffusion Models (T2I DMs) have garnered significant attention for their ability to generate high-quality images from textual descriptions. However, these models...

The dataset is used to evaluate the proposed MuLan framework for progressive multi-object diffusion. It contains 200 prompts with complex spatial relationships and attribute...

The ENTIGEN dataset is a benchmark for evaluating the change in the diversity of text-to-image generations in the presence of ethical interventions.

Text-to-image diffusion models with an ensemble of expert denoisers

A dataset of pre-trained models and their corresponding text prompts used for text-to-image diffusion models.

A dataset of pre-trained models and their corresponding text prompts used for text-to-image generation and editing.

A dataset of pre-trained models and their corresponding text prompts used for text-to-image generation and editing.

A benchmark for open-world compositional text-to-image generation. The dataset consists of 218 prompts with a single object and its number.

A dataset for text-to-image generation with accurate object count. The dataset consists of 200 prompts with various classes, numbers, and scenes.

The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects.

The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects.

A dataset of images with fine-grained control over several 3D-aware attributes, including time-of-day illumination, bird wing orientation, dollyzoom effect, and object poses.