21 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Boosting Multi-View Stereo with Depth Foundation Model in the Absence of Real-World Labels
Jie Zhu, Bo Peng, Zhe Zhang +2
Learning-based Multi-View Stereo (MVS) methods have made remarkable progress in recent years. However, how to effectively train the network without using real-world labels remains…
cs.CV2022★ 12 cited
Shared Coupling-bridge for Weakly Supervised Local Feature Learning
Jiayuan Sun, Jiewen Zhu, Luping Ji
Sparse local feature extraction is usually believed to be of important significance in typical vision tasks such as simultaneous localization and mapping, image matching and 3D rec…
cs.CV2021★ 21 cited
Multi-View Stereo with Transformer
Jie Zhu, Bo Peng, Wanqing Li +3
This paper proposes a network, referred to as MVSTR, for Multi-View Stereo (MVS). It is built upon Transformer and is capable of extracting dense features with global context and 3…