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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.


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Word History and Origins

Origin of diffusion model1

First recorded in 1995–2000
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Example Sentences

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

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

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.

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

But rather than teaching a diffusion model to generate images, the researchers teach it to generate a trajectory for a robot.

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