Learning to Recover 3D Scene Shape from a Single Image

Despite significant progress in monocular depth estimation in the wild, recent state-of-the-art methods cannot be used to recover accurate 3D scene shape due to an unknown depth shift induced by shift-invariant reconstruction losses used in mixed-data depth prediction training, and possible unknown...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 204 - 213
Hauptverfasser:	Yin, Wei, Zhang, Jianming, Wang, Oliver, Niklaus, Simon, Mai, Long, Chen, Simon, Shen, Chunhua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2021
Schlagworte:	Estimation Geometry Predictive models Reconstruction algorithms Shape Three-dimensional displays Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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