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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Bibliographic Details
Main Authors: Zhang, Xiuming, Zhang, Zhoutong, Zhang, Chengkai, Tenenbaum, Joshua B., Freeman, William T., Wu, Jiajun
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: 2021
Online Access:https://hdl.handle.net/1721.1/137406

Internet

https://hdl.handle.net/1721.1/137406

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