diffusion model

[ dih-fyoo-zhuhn mod-l ]

noun

, Computers.

1. a type of machine learning algorithm trained by having the algorithm add noise to images and then remove it from them: used especially for generating pictures from text prompts or for repairing, transforming, or expanding existing images.

Word History and Origins

Origin of diffusion model¹

First recorded in 1995–2000

Example Sentences

This Conditional Variational Diffusion Model produces state-of-the-art results also surpassing the m-rBCR model presented here.

From Science Daily

They train a separate diffusion model to learn a strategy, or policy, for completing one task using one specific dataset.

From Science Daily

The diffusion model gradually removes the noise and refines its output into a trajectory.

From Science Daily

The team trains each diffusion model with a different type of dataset, such as one with human video demonstrations and another gleaned from teleoperation of a robotic arm.

From Science Daily

They represent each policy using a type of generative AI model known as a diffusion model.

From Science Daily