diffusion model

American  

[dih-fyoo-zhuhn mod-l] / dɪˈfyu 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.

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Etymology

Origin of diffusion model

First recorded in 1995–2000

Example Sentences

At the core of the new system is an advanced generative model known as a diffusion model.

From Science Daily

The technique involves starting with a random 3D representation, rendering a 2D view of a desired object from a random camera angle, adding noise to that image, denoising it with a diffusion model, then optimizing the random 3D representation so it matches the denoised image.

From Science Daily

In the end, they were able to use an off-the-shelf, pretrained image diffusion model to create smooth, realistic-looking 3D shapes without the need for costly retraining.

From Science Daily

Because their method relies on a pretrained diffusion model, it inherits the biases and shortcomings of that model, making it prone to hallucinations and other failures.

From Science Daily

Improving the underlying diffusion model would enhance their process.

From Science Daily