Nov. 17, 2022, 2:14 a.m. | Heng Yu, Koichiro Niinuma, Laszlo A. Jeni

cs.CV updates on arXiv.org arxiv.org

Neural Radiance Fields (NeRF) are compelling techniques for modeling dynamic
3D scenes from 2D image collections. These volumetric representations would be
well suited for synthesizing novel facial expressions but for two problems.
First, deformable NeRFs are object agnostic and model holistic movement of the
scene: they can replay how the motion changes over time, but they cannot alter
it in an interpretable way. Second, controllable volumetric representations
typically require either time-consuming manual annotations or 3D supervision to
provide semantic meaning …

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