13 datasets found

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 is DPM-Solver++

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained model to generate images.

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

A dataset of over 60,000 customized diffusion model weights, each fine-tuned to insert a different person's visual identity.

Diffusion Transformer (DiT) has emerged as the new trend of generative diffusion models on image generation. In view of extremely slow convergence in typical DiT, recent...

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

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

ControlNet dataset for image generation

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...

The GEMRec-18K dataset contains 18 thousand images generated by 200 text-to-image diffusion models fine-tuned on Stable Diffusion.

The dataset used in the paper is a large-scale image generation dataset, which is used to evaluate the performance of the characteristic guidance method.