7 datasets found

Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving. One of the main challenges in...

A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model...

Text-guided image editing using diffusion models

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

Cosmological simulations play a crucial role in elucidating the effect of physical parameters on the statistics of fields and on constraining parameters given information on...

Synthetic data generation is a promising solution to address privacy issues with the distribution of sensitive health data. Recently, diffusion models have set new standards for...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 3D Gaussian Splatting representation to bridge the 3D and 2D diffusion...