15 citations · 38 across the 3 of their papers we have counts for
6 papers
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…
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
Jianfeng Yan, Zizhuang Wei, Hongwei Yi +5
In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely HC-RMVSNet, for accurate dense po…
Bundle Adjustment Revisited
Yu Chen, Yisong Chen, Guoping Wang
3D reconstruction has been developing all these two decades, from moderate to medium size and to large scale. It's well known that bundle adjustment plays an important role in 3D r…
Graph-Based Parallel Large Scale Structure from Motion
Yu Chen, Shuhan Shen, Yisong Chen +1
While Structure from Motion (SfM) achieves great success in 3D reconstruction, it still meets challenges on large scale scenes. In this work, large scale SfM is deemed as a graph p…
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
Hongwei Yi, Zizhuang Wei, Mingyu Ding +4
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 reconstructi…
X-GANs: Image Reconstruction Made Easy for Extreme Cases
Longfei Liu, Sheng Li, Yisong Chen +1
Image reconstruction including image restoration and denoising is a challenging problem in the field of image computing. We present a new method, called X-GANs, for reconstruction…