What Do Single-View 3D Reconstruction Networks Learn?

Convolutional networks for single-view object reconstruction have shown impressive performance and have become a popular subject of research. All existing techniques are united by the idea of having an encoder-decoder network that performs non-trivial reasoning about the 3D structure of the output s...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 3400 - 3409
Hauptverfasser:	Tatarchenko, Maxim, Richter, Stephan R., Ranftl, Rene, Li, Zhuwen, Koltun, Vladlen, Brox, Thomas
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2019
Schlagworte:	3D from Single Image Cognition Computer vision Convolutional neural networks Coordinate measuring machines Deep Learning Image classification Image reconstruction Pattern recognition Three-dimensional displays
ISSN:	1063-6919
Online-Zugang:	Volltext
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