17 datasets found

Synthetic data from diffusion models augmenting real-world data

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the DDIM diffusion model and the LDMs diffusion model.

The data distribution is taken to be a 25-dimensional Gaussian distribution, generated by mixture of gaussians.

The data distribution is taken to be a one-dimensional Gaussian distribution, P0(x0) = N (x0 | 0, v0).

The dataset used in the paper for testing the proposed Data-Independent Operator (DIO) framework for generalizable forgery image detection.

Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation.

The DDPM dataset consists of data from 86 subjects attempting to answer questions deceptively. Interviews were recorded at 90 frames-per-second for more than 10 minutes on average.

Directly Denoising Diffusion Models: a simple and generic approach for generating realistic images with few-step sampling, while multistep sampling is still preserved for better...

The dataset used in the paper is the CelebA-HQ-FI and CelebA-25000 datasets.

Diffusion by Maximum Entropy IRL (DxMI) is an IRL approach for training a diffusion model and an energy-based model.

StyleAligned is a method for generating style-consistent images using a reference style image.

The SynthBuster dataset is a collection of images generated by various diffusion models.

The dataset used in this paper for testing the effectiveness of the disguise generation algorithm.

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...

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.