Eine digitale Illustration einer Gehirnform, die aus leuchtenden blauen Leiterplattenlinien und -knoten auf einem dunklen Hintergrund besteht und künstliche Intelligenz und Technologie symbolisiert.

69th Vienna Deep Learning Meetup: Real-time Video with Diffusion Models

  • 23. Oktober 2025
  • 18:45 bis 22:00
  • FH Technikum Wien

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

20:30

  • Networking & Discussion

~ 22:00 Wrap up & End

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.