OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

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About OASIS

We present Open Annotations of Single Image Surfaces (OASIS), a dataset for single-image 3D in the wild consisting of detailed 3D geometry for 140,000 images.


Publication

OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng

Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Paper  Bibtex 

Acknowledgements

This work was partially supported by a National Science Foundation grant (No. 1617767), a Google gift, and a Princeton SEAS innovation grant.