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Revealing robot motion in video models can transform how we predict and control robotic actions, achieving high fidelity with minimal training data.
Achieving state-of-the-art 4D reconstruction, this method transforms monocular videos into high-quality dynamic 3D representations, even in challenging conditions.
Achieving state-of-the-art mesh quality with 18x faster inference times by directly generating triangle soups while respecting crucial symmetries.
Task-aware foveated imaging can dramatically improve visual perception performance while operating within severe bandwidth limitations.
Imagine Minecraft, but you can edit the world's code in real-time with friends, thanks to a diffusion model that treats the environment as editable external memory.
