17 citations · 52 across the 8 of their papers we have counts for
7 papers · 1 filter
Learning-based Multi-View Stereo: A Survey
Fangjinhua Wang, Qingtian Zhu, Di Chang +5
3D reconstruction aims to recover the dense 3D structure of a scene. It plays an essential role in various applications such as Augmented/Virtual Reality (AR/VR), autonomous drivin…
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Wentao Yuan, Qingtian Zhu, Xiangyue Liu +3
Recently, Implicit Neural Representations (INRs) parameterized by neural networks have emerged as a powerful and promising tool to represent different kinds of signals due to its c…
KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo
Yikang Ding, Qingtian Zhu, Xiangyue Liu +3
Supervised multi-view stereo (MVS) methods have achieved remarkable progress in terms of reconstruction quality, but suffer from the challenge of collecting large-scale ground-trut…
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
Yikang Ding, Wentao Yuan, Qingtian Zhu +4
In this paper, we present TransMVSNet, based on our exploration of feature matching in multi-view stereo (MVS). We analogize MVS back to its nature of a feature matching task and t…
MegLoc: A Robust and Accurate Visual Localization Pipeline
Shuxue Peng, Zihang He, Haotian Zhang +4
In this paper, we present a visual localization pipeline, namely MegLoc, for robust and accurate 6-DoF pose estimation under varying scenarios, including indoor and outdoor scenes,…
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
Zizhuang Wei, Qingtian Zhu, Chen Min +2
In this paper, we present a novel recurrent multi-view stereo network based on long short-term memory (LSTM) with adaptive aggregation, namely AA-RMVSNet. We firstly introduce an i…
Deep Learning for Multi-View Stereo via Plane Sweep: A Survey
Qingtian Zhu, Chen Min, Zizhuang Wei +2
3D reconstruction has lately attracted increasing attention due to its wide application in many areas, such as autonomous driving, robotics and virtual reality. As a dominant techn…