AI RESEARCH
Spatial-Temporal Decoupled Reference Conditioning for Identity-Preserving Text-to-Video Generation
arXiv CS.CV
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ArXi:2606.02441v1 Announce Type: new Identity-preserving video generation (IPVG) aims to synthesize high-fidelity videos that follow text prompts while faithfully preserving a reference identity. Despite recent progress, existing IPVG methods still struggle to balance high-level semantic control and low-level identity fidelity. To bridge this gap, we propose ST-DRC, an effective Spatial-Temporal Decoupled Reference Conditioning framework for identity-preserving text-to-video generation.