# Google Research — Towards demystifying the creativity of diffusion models

- Company: Google Research (research.google)
- Announced: 2026-07-15T18:06:00+00:00
- Category: research-paper
- Subject: Research
- Source: https://research.google/blog/towards-demystifying-the-creativity-of-diffusion-models/
- Record: https://forck.live/items/1323-towards-demystifying-the-creativity-of-diffusion-models

Google Research published a paper showing that the creativity of diffusion models is a mathematical consequence of neural networks learning a smoothed version of the score function, which causes interpolation between training data points.

## Evidence

Verbatim from https://research.google/blog/towards-demystifying-the-creativity-of-diffusion-models/:

> We show that a diffusion model’s creativity (its ability to generate novel data, rather than just memorize its training set) is a mathematical consequence of neural networks learning a "smoothed" version of the score function, driving the model to interpolate between training data points along the hidden data manifold.

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Record: https://forck.live/items/1323-towards-demystifying-the-creativity-of-diffusion-models
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