Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

NeurIPS 2016 Xinchen YanJimei YangErsin YumerYijie GuoHonglak Lee

Understanding the 3D world is a fundamental problem in computer vision. However, learning a good representation of 3D objects is still an open problem due to the high dimensionality of the data and many factors of variation involved... (read more)

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