HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs

Recent neural human representations can produce high-quality multi-view rendering but require using dense multi-view inputs and costly training. They are hence largely limited to static models as training each frame is infeasible. We present HumanNeRF - a neural representation with efficient general...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 7733 - 7743
Hlavní autori:	Zhao, Fuqiang, Yang, Wei, Zhang, Jiakai, Lin, Pei, Zhang, Yingliang, Yu, Jingyi, Xu, Lan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	Cameras Computer vision Dynamics Entertainment industry Image and video synthesis and generation; 3D from multi-view and sensors; Face and gestures; Motion and tracking; Pose estimation and tracking Rendering (computer graphics) Telepresence Training
ISSN:	1063-6919
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