research
∙
10/25/2022
THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision
Realistic reconstruction of two hands interacting with objects is a new ...
share
research
∙
07/02/2021
HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
3D hand shape and pose estimation from a single depth map is a new and c...
research
∙
04/03/2020
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map
3D hand shape and pose estimation from a single depth map is a new and c...
research
∙
05/12/2019
Structure from Articulated Motion: An Accurate and Stable Monocular 3D Reconstruction Approach without Training Data
Recovery of articulated 3D structure from 2D observations is a challengi...
research
∙
08/28/2018
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Articulated hand pose and shape estimation is an important problem for v...
research
∙
12/08/2017
