6 datasets found

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

3DILG

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

Score-based generative models (SGMs) show the state-of-the-art sampling quality and diversity. However, their training/sampling complexity is notoriously high due to the highly...

The dataset used in the paper for Bespoke Non-Stationary (BNS) solvers for fast sampling of diffusion and flow models.

Beta diffusion is a novel generative modeling method that integrates demasking and denoising to generate data within bounded ranges.