Search Results for author:
Found 5 papers, 1 papers with code
High-fidelity 3D Human Digitization from Single 2K Resolution Images
The low-resolution depth network predicts the global structure from a low-resolution image, and the part-wise image-to-normal network predicts the details of the 3D human body structure.
Ranked #8 on
3D Human Reconstruction
on CustomHumans
(using extra training data)
Monocular Human Digitization via Implicit Re-projection Networks
The first network predicts normal maps to recover geometric details such as wrinkles in the clothes and facial regions.
Gyroscope-aided Relative Pose Estimation for Rolling Shutter Cameras
The rolling shutter camera has received great attention due to its low cost imaging capability, however, the estimation of relative pose between rolling shutter cameras still remains a difficult problem owing to its line-by-line image capturing characteristics.
Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction
In this paper, we propose a novel method to jointly solve scene layout estimation and global registration problems for accurate indoor 3D reconstruction.
Leveraging Stereo Matching With Learning-Based Confidence Measures
We propose a new approach to associate supervised learning-based confidence prediction with the stereo matching problem.
