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Human trajectory logs are no longer the performance ceiling for autonomous driving: closed-loop reinforcement learning paired with distilled foundation models outperforms human demonstration baselines across major open and closed-loop benchmarks.
RoGe achieves unprecedented temporal coherence in novel view synthesis by seamlessly integrating reconstruction and generation without relying on traditional 3D representations.
