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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 ...
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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...
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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...
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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...
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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...
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12/08/2017