RigNeRF: Fully Controllable Neural 3D Portraits. (arXiv:2206.06481v1 [cs.CV])

Volumetric neural rendering methods, such as neural radiance fields (NeRFs),
have enabled photo-realistic novel view synthesis. However, in their standard
form, NeRFs do not support the editing of objects, such as a human head, within
a scene. In this work, we propose RigNeRF, a system that goes beyond just novel
view synthesis and enables full control of head pose and facial expressions
learned from a single portrait video. We model changes in head pose and facial
expressions using a deformation …

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