ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis-Reference-Cited by-同舟云学术

ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis

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

Ying Haiyang¹,Zhang Jinzhi¹,Chen Yuzhe¹,Cao Zheng²,Xiao Jing³,Huang Ruqi⁴,Fang Lu⁵

Affiliation:

1. Tsinghua University & Tsinghua Shenzhen International Graduate School, Beijing, China

2. BirenTech Research, Shanghai, China

3. Pingan Group, Shenzhen, China

4. Tsinghua Shenzhen International Graduate School, Shenzhen, China

5. Tsinghua University, Beijing, China

Funder

Shanghai Biren Technology Co., Ltd.

Ministry of Science and Technology of China

Natural Science Foundation of China (NSFC)

Shenzhen Key Laboratory of next generation interactive media innovative technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547920

Reference81 articles.

1. Henrik Aanæs , Rasmus Ramsbøl Jensen , George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl. 2016 . Large-Scale Data for Multiple-View Stereopsis. International Journal of Computer Vision ( 2016), 1--16. Henrik Aanæs, Rasmus Ramsbøl Jensen, George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl. 2016. Large-Scale Data for Multiple-View Stereopsis. International Journal of Computer Vision (2016), 1--16.

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

3. Rohan Chabra , Jan Eric Lenssen , Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe. 2020 . Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction . arXiv preprint arXiv:2003.10983 (2020). Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe. 2020. Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. arXiv preprint arXiv:2003.10983 (2020).

4. Rui Chen Songfang Han Jing Xu etal 2020. Visibility-Aware Point-Based Multi-View Stereo Network. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020). Rui Chen Songfang Han Jing Xu et al. 2020. Visibility-Aware Point-Based Multi-View Stereo Network. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020).

5. Rui Chen , Songfang Han , Jing Xu , and Hao Su . 2019 . Point-Based Multi-View Stereo Network. In IEEE Conference on Computer Vision and Pattern Recognition. Rui Chen, Songfang Han, Jing Xu, and Hao Su. 2019. Point-Based Multi-View Stereo Network. In IEEE Conference on Computer Vision and Pattern Recognition.

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