Jonathan HoJonathan Ho
Google DeepMind
Creator of Diffusion Models (DDPM)Creator of Diffusion Models (DDPM)
visionmultimodal
Earned his PhD from UC Berkeley under Pieter Abbeel and Stefano Ermon. Created Denoising Diffusion Probabilistic Models (DDPM, 2020), which revived and dramatically improved the diffusion-based approach to generative modeling. DDPM became the core technology behind Stable Diffusion, DALL-E 2, Midjourney, Sora, and essentially all modern image and video generation systems. Joined Google Brain (now Google DeepMind) where he has continued advancing diffusion models and their applications to video generation.
Earned his PhD from UC Berkeley under Pieter Abbeel and Stefano Ermon. Created Denoising Diffusion Probabilistic Models (DDPM, 2020), which revived and dramatically improved the diffusion-based approach to generative modeling. DDPM became the core technology behind Stable Diffusion, DALL-E 2, Midjourney, Sora, and essentially all modern image and video generation systems. Joined Google Brain (now Google DeepMind) where he has continued advancing diffusion models and their applications to video generation.
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