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Dataset . 2024

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ZENODO

Dataset . 2024

Data sources: ZENODO

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RealDigiFace

Name: RealDigiFace
Keywords: FOS: Computer and information sciences, Realism Transfer, Image-to-Image translation, 3D Rendered Face, OOD

Research datakeyboard_double_arrow_right Dataset 01 Jan 2024 English Publisher:Idiap Research Institute

Authors: Rahimi, Parsa; Razeghi, Behrooz; Marcel, Sebastien;

doi: 10.34777/qx4z-mb36

RealDigiFace

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Abstract

DigiFace1M(https://github.com/microsoft/DigiFace1M) originally created by the 3D rendering engines. When this dataset is used to train Face Recognition systems there is OOD problem by evaluating the trained models against real dataset like LFW, IJB-B and IJB-C. In our paper we tried to address this problem by post processing the original images.

Related Organizations

École Polytechnique Fédérale de Lausanne EPFL
Switzerland
Idiap Research Institute
Switzerland

Keywords

FOS: Computer and information sciences, Realism Transfer, Image-to-Image translation, 3D Rendered Face, OOD

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Average