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IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration

2026-05-04 16:49:51
Axi Niu, Jinyang Zhang, Senyan Qing
arXiv_CV
         
Abstract

Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing from the degraded input. Same-identity references reduce this ambiguity, but mismatched pose, expression, illumination, age, makeup, or local facial states can lead to overuse of reference appearance. We propose \textbf{IConFace}, a unified reference-aware and no-reference framework with identity--structure asymmetric conditioning. References are distilled into a norm-weighted global AdaFace identity anchor for image-only modulation, while the degraded image is reinforced as the spatial structure anchor through low-rank residuals and block-wise degraded cross-attention with two-route memory. The resulting single checkpoint exploits references when available and falls back to no-reference restoration when absent, improving identity consistency, fine-detail recovery, and degraded-only restoration quality in a unified model.

Abstract (translated)

URL

https://arxiv.org/abs/2605.02814

PDF

https://arxiv.org/pdf/2605.02814.pdf

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