FADRA restores degraded face videos by adding LQ-guided step-wise residual refinement and a frequency-aware loss to a frozen text-to-video diffusion model, achieving state-of-the-art temporal coherence and spatial fidelity.
Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent De- tail Synthesis Using Diffusion Models,
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FADRA: Frequency-Aware Diffusion with Residual Adaptation for Video Face Restoration
FADRA restores degraded face videos by adding LQ-guided step-wise residual refinement and a frequency-aware loss to a frozen text-to-video diffusion model, achieving state-of-the-art temporal coherence and spatial fidelity.