3DHR-Co: A Collaborative Test-Time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task-Reference-Cited by-同舟云学术

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3DHR-Co: A Collaborative Test-Time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task

Published:2023 Issue: Volume:11 Page:145254-145263
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lumentut Jonathan Samuel¹^ORCID,Lee Kyoung Mu¹^ORCID

Affiliation:

1. Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10365137.pdf?arnumber=10365137

Reference45 articles.

1. Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction

2. Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

3. Deep Residual Learning for Image Recognition

4. End-to-End Recovery of Human Shape and Pose

5. Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop

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