Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks-Reference-Cited by-同舟云学术

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Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Long Xiaoxiao,Liu Lingjie,Li Wei,Theobalt Christian,Wang Wenping

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09577311.pdf?arnumber=9577311

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance;International Journal of Computer Vision;2023-12-27

2. Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. SimpleMapping: Real-Time Visual-Inertial Dense Mapping with Deep Multi-View Stereo;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16

4. Geometrically Consistent Monocular Metric-Semantic 3D Mapping for Indoor Environments with Transparent and Reflecting Objects;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. SST: Real-time End-to-end Monocular 3D Reconstruction via Sparse Spatial-Temporal Guidance;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

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