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Photorealistic simulation with Gaussian Splatting and drivable avatars closes the reality gap, enabling embodied agents to learn human-aware navigation policies that generalize better to the real world.
Achieve state-of-the-art 3D reconstruction in large-scale scenes by rapidly adapting lightweight neural networks during test time to capture global context.
