What Happened
In June 2020, “Denoising Diffusion Probabilistic Models” (DDPM) was published on arXiv, presenting strong image synthesis results with diffusion-style generative modeling.
Why It Matters
Diffusion methods later became central to modern text-to-image systems and creative tooling, reshaping the generative AI landscape alongside large-scale transformers.
Technical Details
DDPM frames generation as iterative denoising: a model learns to reverse a gradual noising process, enabling high-fidelity sampling with iterative refinement.