AI RESEARCH
UniAVGen: Unified Audio and Video Generation with Asymmetric Cross-Modal Interactions
arXiv CS.CV
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ArXi:2511.03334v2 Announce Type: replace Due to the lack of effective cross-modal modeling, existing open-source audio-video generation methods often exhibit compromised lip synchronization and insufficient semantic consistency. To mitigate these drawbacks, we propose UniAVGen, a unified framework for joint audio and video generation. UniAVGen is anchored in a dual-branch joint synthesis architecture, incorporating two parallel Diffusion Transformers (DiTs) to build a cohesive cross-modal latent space.