-
Projected Generative Diffusion Models
The dataset used in the paper is a large dataset of images, videos, and other data used for training and testing the Projected Generative Diffusion Models (PGDM) and other... -
Diffusion Random Feature Model
Diffusion probabilistic models have been successfully used to generate data from noise. However, most diffusion models are computationally expensive and difficult to interpret... -
Memory in Plain Sight
The generative process of Diffusion Models (DMs) has recently set state-of-the-art on many AI generation benchmarks. -
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
The dataset used in the paper for Bespoke Non-Stationary (BNS) solvers for fast sampling of diffusion and flow models.