Feb. 20, 2024, 5:47 a.m. | Zhixuan Yu, Ziqian Bai, Abhimitra Meka, Feitong Tan, Qiangeng Xu, Rohit Pandey, Sean Fanello, Hyun Soo Park, Yinda Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.11909v1 Announce Type: new
Abstract: Traditional methods for constructing high-quality, personalized head avatars from monocular videos demand extensive face captures and training time, posing a significant challenge for scalability. This paper introduces a novel approach to create high quality head avatar utilizing only a single or a few images per user. We learn a generative model for 3D animatable photo-realistic head avatar from a multi-view dataset of expressions from 2407 subjects, and leverage it as a prior for creating personalized …

abstract arxiv avatar avatars challenge cs.cv demand face few-shot generative head images novel paper per personalized quality scalability training type videos

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