What Do Single-view 3D Reconstruction Networks Learn?

CVPR 2019 β€’ Maxim Tatarchenko β€’ Stephan R. Richter β€’ RenΓ© Ranftl β€’ Zhuwen Li β€’ Vladlen Koltun β€’ Thomas 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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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
3D Reconstruction 300W ResNet 1-of-100 Accuracy cosine loss # 1