Web: http://arxiv.org/abs/2202.05592

Sept. 19, 2022, 1:14 a.m. | Longwen Zhang, Chuxiao Zeng, Qixuan Zhang, Hongyang Lin, Ruixiang Cao, Wei Yang, Lan Xu, Jingyi Yu

cs.CV updates on arXiv.org arxiv.org

Production-level workflows for producing convincing 3D dynamic human faces
have long relied on an assortment of labor-intensive tools for geometry and
texture generation, motion capture and rigging, and expression synthesis.
Recent neural approaches automate individual components but the corresponding
latent representations cannot provide artists with explicit controls as in
conventional tools. In this paper, we present a new learning-based,
video-driven approach for generating dynamic facial geometries with
high-quality physically-based assets. For data collection, we construct a
hybrid multiview-photometric capture stage, …

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