3D Generation
- Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D Kulkarni, Joshua B Tenenbaum:
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative (web) (doi) (bibtex)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
#2d to 3d, #3d vision, #3d generation, #3d reconstruction, #inverse vision, #scene understanding, #deep learning
@article{AmirArsalanSoltani:2017:11a5c,
author = {Amir Arsalan Soltani and Haibin Huang and Jiajun Wu and Tejas D Kulkarni and Joshua B Tenenbaum},
journal = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
title = {Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative },
year = {2017},
keywords = {2d to 3d, 3d vision, 3d generation, 3d reconstruction, inverse vision, scene understanding, deep learning},
doi = {10.1109/CVPR.2017.269},
url = {https://github.com/Amir-Arsalan/Synthesize3DviaDepthOrSil}
}
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