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DriveJudge redefines autonomous driving evaluation by achieving unprecedented accuracy in context-aware assessments, outperforming traditional metrics by over 21 AUC points.
City-scale reconstructions with over 1 billion Gaussian splats reveal a breakthrough in multi-GPU efficiency and detail, surpassing current state-of-the-art methods by more than 25 times.
GRAIL achieves an impressive 84% success rate in real-world object pick-up tasks using only synthetic data, revolutionizing humanoid robot training.
