VEGA-3D: Teaching multimodal LLMs spatial reasoning through video generation

from Embodied AI 101 Hosted by Shaoqing Tan

A plug-and-play framework extracts implicit 3D priors from video diffusion models to enhance multimodal LLMs with spatial reasoning capabilities, enabling improved geometric scene understanding and embodied decision-making without explicit 3D supervision.

Episode details come from the podcast's RSS feed.

Embed this episode

Attribution link and audio player

Ready to play

VEGA-3D: Teaching multimodal LLMs spatial reasoning through video generation

0:00 32:27

No transcript yet.

Requests help us decide what to transcribe next.

Share this episode

Similar podcasts

CISO Perspectives (public) N2K Networks This season on CISO Perspectives, host Kim Jones explores some of the challenges of leading through uncertainty. We explore the complexity of the changing nature of regulation and working with the federal government, the evolution of privacy and fraud, and how emerging technologies like AI and quantum computing are changing cyber. When you don’t know what questions to ask, you’re afraid to ask, or don’t know who to ask, CISO Perspectives provides the foundation for learning in this brave new world.

Frequently asked questions

How long is this episode of Embodied AI 101?

This episode is 32 minutes long.

When was this Embodied AI 101 episode published?

This episode was published on March 23, 2026.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Embodied AI 101 episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.