March 19, 2024, 4:49 a.m. | Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.11641v1 Announce Type: new
Abstract: This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an unparalleled degree of face similarity than existing models. Despite previous attempts to decode face recognition features into detailed images, we find that common high-resolution datasets (e.g. FFHQ) lack sufficient identities to reconstruct any subject. To that end, we meticulously upsample a significant portion of the WebFace42M database, the largest public dataset …

abstract arxiv cs.cv decode diverse embedding face face recognition features foundation foundation model generate human identity images paper person photo recognition type

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