Diffusion models
Abstract
Diffusion models are tools of deep learning which underpin AI image generators such as Stable Diffusion and DALL-E. While some of these ideas existed since at least 2015 and theoretical foundations were laid in the 1980s, they became popularized in the 2020 article [SSDK+20]. Here, we summarize some of the ideas of ‘score-based’ diffusion models and their theoretical underpinning.
Fields of Study & Subjects
Generative Adversarial Networks and Image Synthesis
Image and Signal Denoising Methods
Model Reduction and Neural Networks
Publication details
- Journal / source
- Pittsburgh Interdisciplinary Mathematics Review
- Volume
- 4
- Pages
- 1–17
- Publication date
- 10 February 2026
- Language
- EN