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FATE not only retains temporal information but also encodes synchronization in a reusable embedding space, outperforming existing models in both semantic and temporal tasks.
Current video evaluation metrics miss the mark on human motion quality, but HuM-Eval closes the gap with a new framework that actually aligns with human preferences.
