10 citations · 24 across the 6 of their papers we have counts for
12 papers · 1 filter
DeepMLE: A Robust Deep Maximum Likelihood Estimator for Two-view Structure from Motion
Yuxi Xiao, Li Li, Xiaodi Li +1
Two-view structure from motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM (vSLAM). Many existing end-to-end learning-based methods usually formulate it as a brut…
PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction
Haonan Dong, Jian Yao
Learning-based multi-view stereo (MVS) has gained fine reconstructions on popular datasets. However, supervised learning methods require ground truth for training, which is hard to…
DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range
Puyuan Yi, Shengkun Tang, Jian Yao
To obtain high-resolution depth maps, some previous learning-based multi-view stereo methods build a cost volume pyramid in a coarse-to-fine manner. These approaches leverage fixed…
Deformable spatial propagation network for depth completion
Zheyuan Xu, Hongche Yin, Jian Yao
Depth completion has attracted extensive attention recently due to the development of autonomous driving, which aims to recover dense depth map from sparse depth measurements. Conv…
Vanishing Point Guided Natural Image Stitching
Kai Chen, Jian Yao, Jingmin Tu +3
Recently, works on improving the naturalness of stitching images gain more and more extensive attention. Previous methods suffer the failures of severe projective distortion and un…
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Yahui Liu, Marco De Nadai, Jian Yao +3
Unsupervised image-to-image translation (UNIT) aims at learning a mapping between several visual domains by using unpaired training images. Recent studies have shown remarkable suc…