Self-Supervised Multi-view Stereo via Adjacent Geometry Guided Volume Completion-Reference-Cited by-同舟云学术

Self-Supervised Multi-view Stereo via Adjacent Geometry Guided Volume Completion

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Xu Luoyuan¹,Guan Tao²,Wang Yuesong¹,Luo Yawei³,Chen Zhuo¹,Liu Wenkai¹,Yang Wei¹

Affiliation:

1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. chool of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

3. School of Computer Science and Technology, Zhejiang University, Hangzhou, China

Funder

the National Natural Science Foundation of China (NSFC)

the National Key Research and Development Plan of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547926

Reference44 articles.

1. Large-Scale Data for Multiple-View Stereopsis

2. Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo

3. Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness

4. MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry

5. Yasutaka Furukawa and Jean Ponce . 2009. Accurate , dense, and robust multiview stereopsis . IEEE transactions on pattern analysis and machine intelligence 32, 8 ( 2009 ), 1362--1376. Yasutaka Furukawa and Jean Ponce. 2009. Accurate, dense, and robust multiview stereopsis. IEEE transactions on pattern analysis and machine intelligence 32, 8 (2009), 1362--1376.

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