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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.
Multi-event video generation gets a 33% quality boost with TS-Attn, a training-free attention mechanism that dynamically aligns video content with complex temporal prompts.
