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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Mohsen Gholami",
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  "author": "Mohsen Gholami",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2312.14915",
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    "https://doi.org/10.48550/arXiv.2312.14915",
            
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    "https://doi.org/10.48550/arXiv.2405.19833",
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    "https://doi.org/10.48550/arXiv.2405.19833",
            
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    "https://doi.org/10.48550/arXiv.2208.10652",
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    "https://doi.org/10.48550/arXiv.2208.10652",
            
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    "https://doi.org/10.48550/arXiv.2012.09843",
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    "https://doi.org/10.48550/arXiv.2012.09843",
            
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    "https://doi.org/10.48550/arXiv.2403.09050",
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    "https://doi.org/10.48550/arXiv.2403.09050",
            
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    "https://doi.org/10.48550/arXiv.2309.04840",
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    "https://doi.org/10.48550/arXiv.2309.04840",
            
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    "https://doi.org/10.48550/arXiv.2105.09711",
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    "https://doi.org/10.48550/arXiv.2105.09711",
            
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    "https://doi.org/10.48550/arXiv.2304.04875",
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    "https://doi.org/10.48550/arXiv.2304.04875",
            
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    "https://doi.org/10.48550/arXiv.2104.05015",
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    "https://doi.org/10.48550/arXiv.2104.05015",
            
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    "https://doi.org/10.48550/arXiv.2007.11755"
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    "https://doi.org/10.48550/arXiv.2007.11755"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2405.07407",
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  "defined_in": "https://doi.org/10.48550/arXiv.2405.07407",
            
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  "doi": "10.57702/ftenjlve",
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  "doi": "10.57702/ftenjlve",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Rabab Ward",
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      "extra_author": "Rabab Ward",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Z. Jane Wang",
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      "extra_author": "Z. Jane Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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      "description": "",
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      "description": "",
            
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      "display_name": "3D Human Pose Estimation",
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      "display_name": "3D Human Pose Estimation",
            
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      "name": "3d-human-pose-estimation",
            
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      "title": "3D Human Pose Estimation"
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      "title": "3D Human Pose Estimation"
            
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      "name": "3d-pose-estimation",
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      "name": "3d-pose-estimation",
            
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      "title": "3D Pose Estimation"
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      "title": "3D Pose Estimation"
            
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      "description": "",
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      "name": "3d-reconstruction",
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      "title": "3D Reconstruction"
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      "title": "3D Reconstruction"
            
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "human-body-estimation",
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      "name": "human-body-estimation",
            
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      "title": "Human Body Estimation"
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      "title": "Human Body Estimation"
            
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    {
            
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      "description": "",
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      "name": "human-body-shape-estimation",
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      "name": "human-body-shape-estimation",
            
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      "title": "Human Body Shape Estimation"
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      "title": "Human Body Shape Estimation"
            
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    {
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      "description": "",
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      "name": "human-mesh-recovery",
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      "name": "human-mesh-recovery",
            
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      "title": "Human Mesh Recovery"
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      "title": "Human Mesh Recovery"
            
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    {
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      "description": "",
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      "display_name": "Human Motion Capture",
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      "name": "human-motion-capture",
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      "name": "human-motion-capture",
            
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      "title": "Human Motion Capture"
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      "title": "Human Motion Capture"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Human Motion Prediction",
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      "display_name": "Human Motion Prediction",
            
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      "name": "human-motion-prediction",
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      "name": "human-motion-prediction",
            
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      "title": "Human Motion Prediction"
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      "title": "Human Motion Prediction"
            
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    },
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Human Pose Estimation",
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      "display_name": "Human Pose Estimation",
            
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      "id": "e880ba2e-3294-47ab-85b0-f66ba44b38bc",
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      "image_display_url": "",
            
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      "name": "human-pose-estimation",
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      "name": "human-pose-estimation",
            
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      "title": "Human Pose Estimation"
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      "title": "Human Pose Estimation"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "IMU-based Human Pose Estimation",
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      "display_name": "IMU-based Human Pose Estimation",
            
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      "id": "29cca0ce-e6e4-4159-92d2-690a8d3f7a02",
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      "image_display_url": "",
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      "name": "imu-based-human-pose-estimation",
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      "name": "imu-based-human-pose-estimation",
            
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      "title": "IMU-based Human Pose Estimation"
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      "title": "IMU-based Human Pose Estimation"
            
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    }
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  ],
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  "id": "eb8ba2b8-c9fa-461b-bd5c-759b04de23a6",
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  "name": "3dpw",
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  "name": "3dpw",
            
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  "notes": "3D human pose and mesh estimation, the task of 
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  "notes": "3D human pose and mesh estimation, the task of 
            
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recon-structing human pose in 3D space given a 2D image of the person, 
125
recon-structing human pose in 3D space given a 2D image of the person, 
            
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is an ill-posed problem, and many data-driven ap-proaches using deep 
126
is an ill-posed problem, and many data-driven ap-proaches using deep 
            
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learning were recently proposed (Liu, Kortylewski, and Yuille 2023; 
127
learning were recently proposed (Liu, Kortylewski, and Yuille 2023; 
            
128
Gholami et al. 2022a; Li et al. 2022). A dataset covering the 
128
Gholami et al. 2022a; Li et al. 2022). A dataset covering the 
            
129
distribution of possible human poses, global orientation, appearance, 
129
distribution of possible human poses, global orientation, appearance, 
            
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and other attributes would be large and difficult to capture in 
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and other attributes would be large and difficult to capture in 
            
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practice.",
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practice.",
            
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      "name": "human motion capture",
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      "name": "human motion prediction",
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    {
            
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      "id": "3d8c9405-b203-4414-9a6a-4bfb1cfa14ad",
            
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      "name": "human pose",
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      "name": "human pose",
            
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    },
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    {
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      "id": "152c400d-0224-4d70-93f6-52ea870163b8",
            
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  ],
            
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  "title": "3DPW",
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  "title": "3DPW",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}