AI RESEARCH
DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video
arXiv CS.CV
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ArXi:2603.28003v1 Announce Type: new While recent 3D head avatar creation methods attempt to animate facial dynamics, they often fail to capture personalized details, limiting realism and expressiveness. To fill this gap, we present DipGuava (Disentangled and Personalized Gaussian UV Avatar), a novel 3D Gaussian head avatar creation method that successfully generates avatars with personalized attributes from monocular video.