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 #10 on Point Clouds on Tanks and Temples (Mean F1 (Intermediate) metric)
no code implementations • 18 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.
2 code implementations • ECCV 2020 • Jian-Feng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely $D^{2}$HC-RMVSNet, for accurate dense point cloud reconstruction.
1 code implementation • 23 Dec 2019 • Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang
After local reconstructions, we construct a minimum spanning tree (MinST) to find accurate similarity transformations.
no code implementations • 9 Dec 2019 • Yu Chen, Yisong Chen, Guoping Wang
3D reconstruction has been developing all these two decades, from moderate to medium size and to large scale.
1 code implementation • ECCV 2020 • Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstruction.
no code implementations • 6 Aug 2018 • Longfei Liu, Sheng Li, Yisong Chen, Guoping Wang
Image reconstruction including image restoration and denoising is a challenging problem in the field of image computing.
no code implementations • 10 Feb 2014 • Xintong Yu, Xiaohan Liu, Yisong Chen
We propose a foreground segmentation algorithm that does foreground extraction under different scales and refines the result by matting.