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Face restoration focuses on improving the quality of facial images by removing complex degradation and enhancing details. Face restoration is inherently a highly ill-posed task because a single low-quality input can correspond to many potential high-quality counterparts scattered throughout the high-quality image space.
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Towards Unsupervised Blind Face Restoration using Diffusion Prior
AuthorTianshu Kuai, Sina Honari, Alex Levinshtein
PublishedIEEE Winter Conference on Applications of Computer Vision (WACV)
Date2025-02-28
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