AI RESEARCH
DVFace: Spatio-Temporal Dual-Prior Diffusion for Video Face Restoration
arXiv CS.CV
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ArXi:2604.14560v1 Announce Type: new Video face restoration aims to enhance degraded face videos into high-quality results with realistic facial details, stable identity, and temporal coherence. Recent diffusion-based methods have brought strong generative priors to restoration and enabled realistic detail synthesis. However, existing approaches for face videos still rely heavily on generic diffusion priors and multi-step sampling, which limit both facial adaptation and inference efficiency.