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  "access_rights": "",
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  "author": "Mingxiang Chen",
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  "author": "Mingxiang Chen",
            
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2405.09050",
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  "defined_in": "https://doi.org/10.48550/arXiv.2405.09050",
            
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  "doi": "10.57702/1hdh5xbf",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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      "extra_author": "Jian Zhang",
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      "extra_author": "Jian Zhang",
            
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    },
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    {
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      "extra_author": "Boli Zhou",
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yang Song",
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      "extra_author": "Yang Song",
            
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      "orcid": ""
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    }
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      "name": "3d-shapes",
            
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      "title": "3D Shapes"
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      "title": "3D Shapes"
            
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      "description": "",
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  "name": "shapenetv2",
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  "name": "shapenetv2",
            
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  "notes": "ShapeNetV2 is a large-scale dataset of 3D shapes, with 
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  "notes": "ShapeNetV2 is a large-scale dataset of 3D shapes, with 
            
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over 16,000 models, each described by a set of 3D coordinates.",
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over 16,000 models, each described by a set of 3D coordinates.",
            
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}