69th Vienna Deep Learning Meetup: Real-time Video with Diffusion Models
Details
Hi Deep Learners,
We are announcing our next Deep Learning Meetup and are glad to have Rahim Entezari from Stability AI presenting Real-time Video Generation with Diffusion Models.
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Agenda:
18:45 (note the 15 min later start than usual)
- Introduction & Welcome by the meetup organizers & hosts
19:00
- Talk: Real-time Video Generation with Diffusion Models
by Rahim Entezari
19:45
- Announcements
20030
- Networking & Discussion
~ 22:00 Wrap up & End
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Talk Details:
Real-time video generation is rapidly emerging as a transformative frontier in generative AI, pushing beyond static imagery to dynamic, interactive media. This talk explores recent advances in diffusion and transformer-based architectures that enable fast, high-quality video synthesis, highlighting innovations in sparse attention, distillation, and autoregressive generation. Rahim will discuss the technical challenges of achieving both speed and fidelity at scale, and showcase how these breakthroughs open the door to new creative, interactive, and production-ready applications.
About the Speaker:
Dr. Rahim Entezari is a Research Scientist at Stability AI, where he actively contributes in advancing large-scale generative models for image and video. He was a core contributor to Stable Diffusion 3 and 3.5, and is currently driving research on real-time video generation. Before that he earned his PhD in Artificial Intelligence from TU Graz with distinction.
We are very much looking forward to seeing you at our next meetup!
Your VDLM organizers