18 datasets found

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

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

A dataset used by the authors to test their hypothesis about the white bear phenomenon in large models.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors analyzed the generative mechanism of diffusion models and proposed a novel method...

StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data

The dataset used in the paper for Model Tree Heritage Recovery (MoTHer Recovery) is the ViT Tree Heritage Recovery (VTHR) dataset.

The dataset used in this paper is a comic dataset, where the authors used ChatGPT to generate storylines and Stable Diffusion to generate comics.

A novel pipeline for generating photorealistic underwater images using accurate terrestrial depth data.

The DEFAKE dataset is a large-scale dataset for real-world face forgery detection, containing 6,000 images generated by Stable Diffusion.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Stable Diffusion and Yolo to optimize the parameters and prompts for...

The Stable Diffusion dataset contains 100,000 images generated by the Stable Diffusion model.

The dataset used for training the Stable Diffusion model, which includes images with captions containing various terminology relevant to the field of fluvial geomorphology.

The dataset used in the paper is the Stable Diffusion safety filter dataset, which contains images that are generated using the Stable Diffusion model and are classified as safe...

A dataset of images generated by various text-to-image models, including Stable Diffusion and Midjourney.

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

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.

The dataset used in the paper is a text-to-image diffusion model, specifically Stable Diffusion. The authors used this model to generate images from text prompts and evaluated...