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University of California
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AI agents can now generate and verify complex 3D worlds using executable code, outperforming leading models in human preference studies.
Achieving state-of-the-art accuracy in 3D multi-person motion prediction hinges on a novel framework that balances structural stability with dynamic inter-agent interactions.