AI RESEARCH
Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation
arXiv CS.CV
•
ArXi:2605.17488v1 Announce Type: new The landscape of joint audio and video generation has been fundamentally transformed by the advent of powerful foundation models. Despite these strides, achieving cohesive multimodal customization for the simultaneous preservation of visual identities and vocal timbres across multiple interacting subjects remains largely underexplored. To bridge this gap, we present Omni-Customizer, an end-to-end framework targeted at the precise binding and seamless fusion of multimodal identity information. Specifically, we.