March 14, 2024, 4:46 a.m. | Tuomas Varanka, Tapani Toivonen, Soumya Tripathy, Guoying Zhao, Erman Acar

cs.CV updates on

arXiv:2403.08436v1 Announce Type: new
Abstract: Recent developments in face restoration have achieved remarkable results in producing high-quality and lifelike outputs. The stunning results however often fail to be faithful with respect to the identity of the person as the models lack necessary context. In this paper, we explore the potential of personalized face restoration with diffusion models. In our approach a restoration model is personalized using a few images of the identity, leading to tailored restoration with respect to the …

abstract arxiv context explore face however identity paper person personalized quality results type

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