Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery-Reference-Cited by-同舟云学术

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Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Wang Zun¹,Hua Yang¹,Song Xiaoning¹,Zhang Wenjie¹,Wu Xiao-Jun¹

Affiliation:

1. Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651325.pdf?arnumber=10651325

Reference57 articles.

1. SCAPE

2. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

3. Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints

4. Monocular Total Capture: Posing Face, Body, and Hands in the Wild

5. Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation

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