9 datasets found

CADS: Unleash the diversity of diffusion models through condition-annealed sampling.

The dataset used in the paper for appearance transfer with semantic correspondence in diffusion models.

The dataset used for training the diffusion model, containing 2M images.

The dataset used for the text-to-image generation task using diffusion models.

Diffusion models have recently exhibited remarkable abilities to synthesize striking image samples since the introduction of denoising diffusion probabilistic models (DDPMs).

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

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

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

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...