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A real-time generative world model can synthesize complex driving scenarios that traditional simulators struggle to capture, enabling safer and more effective evaluation of autonomous vehicle policies.
Transforming sparse driving log observations into complete 3D assets could revolutionize simulation fidelity in autonomous vehicle development.
