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Peking University
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Physically aligned video models can boost robotic manipulation success rates by over 50% compared to traditional methods.
Teacher-forcing consistency models can accelerate autoregressive video generation by ten times, revolutionizing the training landscape for streaming applications.
SC3-Eval achieves a remarkable 0.929 Pearson correlation in evaluating robot policies, revealing critical insights into their real-world performance.
Fluent demonstrations may mislead robot learning, but a new representation method recovers critical motion insights, boosting performance significantly.
