H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction-Reference-Cited by-同舟云学术

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H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Xu Hao¹,Wang Tianyu¹,Tang Xiao¹,Fu Chi-Wing¹

Affiliation:

1. Department of Computer Science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204388.pdf?arnumber=10204388

Reference69 articles.

1. Pose2Mesh: Graph convolutional network for 3D human pose and mesh recovery from a 2D human pose;choi;ECCV,0

2. Seqhand: RGB-sequence-based 3D hand pose and shape estimation;yang;ECCV,0

3. Occlusion-Aware Networks for 3D Human Pose Estimation in Video

4. Dual Grid Net: Hand mesh vertex regression from single depth maps;wan;ECCV,0

5. 3D Hand Shape and Pose Estimation From a Single RGB Image

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1. Challenges and solutions for vision-based hand gesture interpretation: A review;Computer Vision and Image Understanding;2024-11

2. Temporally enhanced graph convolutional network for hand tracking from an egocentric camera;Virtual Reality;2024-08-01

3. Pyramid Deep Fusion Network for Two-Hand Reconstruction From RGB-D Images;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

4. Hand Tracking: Survey;International Journal of Control, Automation and Systems;2024-05-28

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