AI RESEARCH
MeInTime: Bridging Age Gap in Identity-Preserving Face Restoration
arXiv CS.CV
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ArXi:2603.18645v1 Announce Type: new To better preserve an individual's identity, face restoration has evolved from reference-free to reference-based approaches, which leverage high-quality reference images of the same identity to enhance identity fidelity in the red outputs. However, most existing methods implicitly assume that the reference and degraded input are age-aligned, limiting their effectiveness in real-world scenarios where only cross-age references are available, such as historical photo restoration.