Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes

Author:

Choi Hongsuk1,Moon Gyeongsik1,Park JoonKyu1,Lee Kyoung Mu1

Affiliation:

1. Seoul National University,Dept. of ECE & ASRI,Korea

Funder

IITP

Seoul National University

Publisher

IEEE

Reference53 articles.

1. Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

2. Automatic differentiation in pytorch;paszke;NeurIPS,0

3. Pose2pose: 3D positional pose-guided 3D rotational pose prediction for expressive 3d human pose and mesh estimation;moon;ArXiv Preprint,2020

4. NeuralAnnot: Neural annotator for in-the-wild expressive 3D human pose and mesh training sets;moon;ArXiv Preprint,2020

5. I2L-MeshNet: Image-to-Lixel prediction network for accurate 3D human pose and mesh estimation from a single RGB image;moon;ECCV,0

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1. Pose and Shape Estimation of Humans in Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-01

2. Single-Image 3D Human Pose and Shape Estimation Enhanced by Clothed 3D Human Reconstruction;Communications in Computer and Information Science;2024

3. RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer;Computer-Aided Design and Computer Graphics;2024

4. Recovering 3D Human Mesh From Monocular Images: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12

5. HumVis: Human-Centric Visual Analysis System;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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