DDL-MVS: Depth Discontinuity Learning for Multi-View Stereo Networks
We propose an enhancement module called depth discontinuity learning (DDL) for learning-based multi-view stereo (MVS) methods. Traditional methods are known for their accuracy but struggle with completeness. While recent learning-based methods have improved completeness at the cost of accuracy, our...
Main Authors: | Nail Ibrahimli, Hugo Ledoux, Julian F. P. Kooij, Liangliang Nan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/12/2970 |
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