Learning 3D Representations of Dynamic Environments from a Single Camera
Learning 3D Representations of Dynamic Environments from a Single Camera
Authors
Gengshan Yang, Minh Vo, Neverova Natalia, Deva Ramanan, Andrea Vedaldi, Christopher Choy
CVPR, 2021
Abstract
Learning 3D representations of dynamic environments from a single camera presents substantial challenges due to the inherent ambiguities in monocular observations. This paper introduces novel approaches for reconstructing dynamic 3D scenes using advanced neural representations and temporal consistency.
Bibtex
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@article{lan2021discobox,
title={DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision},
author={Lan, Shiyi and Yu, Zhiding and Choy, Christopher and Radhakrishnan, Subhashree and Liu, Guilin and Zhu, Yuke and Davis, Larry S and Anandkumar, Anima},
journal={arXiv preprint arXiv:2105.06464},
year={2021}
}
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