LEAPSE: Learning Environment Affordances for 3D Human Pose and Shape Estimation-Reference-Cited by-同舟云学术

LEAPSE: Learning Environment Affordances for 3D Human Pose and Shape Estimation

Published:2024 Issue: Volume:33 Page:3285-3300
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Tian Fangzheng¹^ORCID,Kim Sungchan²^ORCID

Affiliation:

1. Department of Computer Science and Artificial Intelligence, Jeonbuk National University, Jeonju-si, Republic of Korea

2. Department of Computer Science and Artificial Intelligence and the Center for Advanced Image Information Technology, Jeonbuk National University, Jeonju-si, Republic of Korea

Funder

Institute of Information and Communications Technology Planning and Evaluation Grant funded by Korean Government [Ministry of Science and ICT]

National Research Foundation of Korea through Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10521448.pdf?arnumber=10521448

Reference110 articles.

1. Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes

2. 3D Human Mesh Regression With Dense Correspondence

3. Towards Accurate Marker-Less Human Shape and Pose Estimation over Time

4. Object-Occluded Human Shape and Pose Estimation From a Single Color Image

5. Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation

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