Search Results for author: Qingtian Zhu

Found 6 papers, 4 papers with code

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo

1 code implementation21 Jul 2022 Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang

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-truth depth.

Knowledge Distillation Self-Supervised Learning

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives

1 code implementation21 Jul 2022 Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang

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 continuous, differentiable properties, showing superiorities to classical discretized representations.

Inverse Rendering

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

1 code implementation CVPR 2022 Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu

We analogize MVS back to its nature of a feature matching task and therefore propose a powerful Feature Matching Transformer (FMT) to leverage intra- (self-) and inter- (cross-) attention to aggregate long-range context information within and across images.

3D Reconstruction

MegLoc: A Robust and Accurate Visual Localization Pipeline

no code implementations25 Nov 2021 Shuxue Peng, Zihang He, Haotian Zhang, Ran Yan, Chuting Wang, Qingtian Zhu, Xiao Liu

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, different time across a day, different seasons across a year, and even across years.

Autonomous Driving Pose Estimation +1

AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network

1 code implementation ICCV 2021 Zizhuang Wei, Qingtian Zhu, Chen Min, Yisong Chen, Guoping Wang

To overcome the difficulty of varying occlusion in complex scenes, we propose an inter-view cost volume aggregation module for adaptive pixel-wise view aggregation, which is able to preserve better-matched pairs among all views.

Ranked #5 on Point Clouds on Tanks and Temples (Mean F1 (Intermediate) metric)

3D Reconstruction Point Clouds

Deep Learning for Multi-View Stereo via Plane Sweep: A Survey

no code implementations18 Jun 2021 Qingtian Zhu, Chen Min, Zizhuang Wei, Yisong Chen, Guoping Wang

3D reconstruction has lately attracted increasing attention due to its wide application in many areas, such as autonomous driving, robotics and virtual reality.

3D Reconstruction Autonomous Driving

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