32 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).

Large-scale text-to-image diffusion models can be fine-tuned to produce class-conditional models with SOTA FID and Inception Score on ImageNet.

The dataset used in the paper is a set of images and videos of objects moving in different environments, used for training and testing the Motion Planning Diffusion model.

Diffusion probabilistic models have been successfully used to generate data from noise. However, most diffusion models are computationally expensive and difficult to interpret...

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

The LAION2B dataset is a massive 'in the wild' dataset used for training foundation diffusion models.

Diffusion models have demonstrated highly-expressive generative capabilities in vision and NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models...

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

3DILG

3DShape2VecSet: A 3D shape representation for neural fields and generative diffusion models

The generative process of Diffusion Models (DMs) has recently set state-of-the-art on many AI generation benchmarks.

The dataset is used for learning a diffusion prior for NeRFs that can generate NeRFs and be used as a prior for different test-time optimization algorithms.

The dataset used in the paper for diffusion model detection, containing synthetic images and real images.

Blended diffusion for text-driven editing of natural images

Exemplar-based image editing with diffusion models

High-resolution virtual try-on via misalignment-aware normalization

Diffusion models currently stand as the predominant approach to generative modeling in audio and image domains.

Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image...

Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image...