11 citations · 25 across the 4 of their papers we have counts for
5 papers
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
Wang Zhao, Shaohui Liu, Yi Wei +2
In this paper, we introduce a deep multi-view stereo (MVS) system that jointly predicts depths, surface normals and per-view confidence maps. The key to our approach is a novel sol…
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Yi Wei, Shaohui Liu, Yongming Rao +3
In this work, we present a new multi-view depth estimation method that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radianc…
A Configuration-Space Decomposition Scheme for Learning-based Collision Checking
Yiheng Han, Wang Zhao, Jia Pan +3
Motion planning for robots of high degrees-of-freedom (DOFs) is an important problem in robotics with sampling-based methods in configuration space C as one popular solution. Recen…
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
Yi Wei, Shaohui Liu, Wang Zhao +2
In this paper, we present a new perspective towards image-based shape generation. Most existing deep learning based shape reconstruction methods employ a single-view deterministic…
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
Li Yi, Wang Zhao, He Wang +2
We introduce a novel 3D object proposal approach named Generative Shape Proposal Network (GSPN) for instance segmentation in point cloud data. Instead of treating object proposal a…