Learning to reconstruct shapes from unseen classes

Learning to reconstruct shapes from unseen classes

© 2018 Curran Associates Inc.All rights reserved. From a single image, humans are able to perceive the full 3D shape of an object by exploiting learned shape priors from everyday life. Contemporary single-image 3D reconstruction algorithms aim to solve this task in a similar fashion, but often end u...

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Main Authors: Zhang, Xiuming (Author), Zhang, Zhoutong (Author), Zhang, Chengkai (Author), Tenenbaum, Joshua B. (Author), Freeman, William T. (Author), Wu, Jiajun (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: 2021-11-04T19:32:26Z.
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