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UniAVC: Unified Audio-Video Creation via Progressive Training and Asymmetric Scheduling
UniAVC trains separate audio and video branches on abundant unimodal data before aligning them with scarce paired data, using independent noise schedules and asymmetric supervision to enable joint synthesis, cross-modal generation, and instruction-guided editing.
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