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diffusion model

American  
[dih-fyoo-zhuhn mod-l] / dɪˈfju ʒən ˌmɒd 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.


Etymology

Origin of diffusion model

First recorded in 1995–2000

Example Sentences

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See Examples For:

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

From Science Daily Jun. 3, 2024

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

From Science Daily Jun. 3, 2024

Although AI has been in development for decades, the most popular of today's image generators use a technique called a diffusion model, which is relatively new on the AI scene.

From Scientific American Sep. 22, 2023

In a recent preprint study, Sarkar and his colleagues in Madrid and Edinburgh conducted a similar experiment with a type of AI image generator called a diffusion model.

From Scientific American Jul. 28, 2023

Researchers can provide a rough outline for the protein they want, then a diffusion model can generate its three-dimensional shape.

From New York Times Jan. 9, 2023

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