{"data":{"slug":"diffusion-paper","etype":"paper","name":"Denoising Diffusion Probabilistic Models (2020)","cat":"Architecture","subtitle":"The DDPM paper behind every image and video generator.","summary":"Ho, Jain and Abbeel made diffusion practical for image synthesis, and latent diffusion (Rombach 2022) made it cheap enough for consumer GPUs — the two steps from which Stable Diffusion, Midjourney-class systems, Sora and Veo all follow.","attrs":null,"kf":null,"aliases":["DDPM","latent diffusion paper"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://arxiv.org/abs/2006.11239","label":"arXiv 2006.11239"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T06:33:49+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}