April 23, 2024, 4:46 a.m. | Safa C. Medin, Gengyan Li, Ruofei Du, Stephan Garbin, Philip Davidson, Gregory W. Wornell, Thabo Beeler, Abhimitra Meka

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.13807v1 Announce Type: new
Abstract: 3D rendering of dynamic face captures is a challenging problem, and it demands improvements on several fronts$\unicode{x2014}$photorealism, efficiency, compatibility, and configurability. We present a novel representation that enables high-quality volumetric rendering of an actor's dynamic facial performances with minimal compute and memory footprint. It runs natively on commodity graphics soft- and hardware, and allows for a graceful trade-off between quality and efficiency. Our method utilizes recent advances in neural rendering, particularly learning discrete radiance manifolds …

3d rendering abstract actor arxiv compute cs.cv cs.gr dynamic efficiency face improvements memory novel performances quality rendering representation type unicode

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