What Do Single-view 3D Reconstruction Networks Learn?

CVPR 2019 Maxim TatarchenkoStephan R. RichterRené RanftlZhuwen LiVladlen KoltunThomas Brox

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 space... (read more)

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