CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning-Reference-Cited by-同舟云学术

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CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning

Published:2023-10-01 Issue: Volume:33 Page:3746-3757
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Xiong Kaiqiang¹,Peng Rui¹,Zhang Zhe¹,Feng Tianxing¹,Jiao Jianbo²,Gao Feng³,Wang Ronggang¹

Affiliation:

1. Peking University,School of Electronic and Computer Engineering

2. University of Birmingham,School of Computer Science

3. Peking University,School of Arts

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376500.pdf?arnumber=10376500

Reference55 articles.

1. Large-Scale Data for Multiple-View Stereopsis

2. CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

3. Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

4. PatchMatch

5. RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

Cited by 2 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. DAR-MVSNet: a novel dual attention residual network for multi-view stereo;Signal, Image and Video Processing;2024-05-31

2. Multi-view 3D reconstruction based on deep learning: A survey and comparison of methods;Neurocomputing;2024-05

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