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Achieving precise timing control in audio-visual generation without model retraining could revolutionize how we synchronize speech and visuals in AI applications.
Relying only on affinity can lead to failures in noisy environments, but ANFI's dual approach to neighbor interactions significantly boosts robustness in person re-ID tasks.
