RigNeRF: Fully Controllable Neural 3D Portraits

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 bey...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 20332 - 20341
Hlavní autori:	Athar, ShahRukh, Xu, Zexiang, Sunkavalli, Kalyan, Shechtman, Eli, Shu, Zhixin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	Deformable models Face and gestures; 3D from multi-view and sensors; Scene analysis and understanding Face recognition Image analysis Rendering (computer graphics) Solid modeling Three-dimensional displays Training
ISSN:	1063-6919
On-line prístup:	Získať plný text
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