Maneesh Agrawala

Achieving minutes-long coherence in video generation is now possible with a novel framework that balances long-term memory and generative diversity.

Revealing robot motion in video models can transform how we predict and control robotic actions, achieving high fidelity with minimal training data.

LLMs can generate more accurate motion trajectories by clustering them into geometrically consistent families, even without retraining.