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  "access_rights": "",
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  "author": "Julian Straub",
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  "author": "Julian Straub",
            
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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.2405.17958",
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    "https://doi.org/10.48550/arXiv.2405.17958",
            
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    "https://doi.org/10.48550/arXiv.2407.13642",
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    "https://doi.org/10.48550/arXiv.2308.07868",
            
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    "https://doi.org/10.48550/arXiv.2207.06205",
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    "https://doi.org/10.48550/arXiv.2207.06205",
            
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    "https://doi.org/10.48550/arXiv.2103.04918",
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    "https://doi.org/10.48550/arXiv.2103.04918",
            
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    "https://doi.org/10.48550/arXiv.2405.18213",
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    "https://doi.org/10.48550/arXiv.2405.18213",
            
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    "https://doi.org/10.48550/arXiv.2310.15712"
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    "https://doi.org/10.48550/arXiv.2310.15712"
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2206.04669",
            
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  "doi": "10.57702/minzaoff",
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  "doi": "10.57702/minzaoff",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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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": "Thomas Whelan",
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      "extra_author": "Thomas Whelan",
            
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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": "Lingni Ma",
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      "extra_author": "Lingni Ma",
            
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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": "Yufan Chen",
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      "extra_author": "Yufan Chen",
            
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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": "Erik Wijmans",
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      "extra_author": "Erik Wijmans",
            
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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": "Simon Green",
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      "extra_author": "Simon Green",
            
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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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      "extra_author": "Jakob J Engel",
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      "extra_author": "Jakob J Engel",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Raul Mur-Artal",
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      "extra_author": "Raul Mur-Artal",
            
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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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      "extra_author": "Carl Ren",
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      "extra_author": "Carl Ren",
            
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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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      "extra_author": "Shobhit Verma",
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      "extra_author": "Shobhit Verma",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "title": "3D Scene Reconstruction"
            
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      "name": "3d-semantic-understanding",
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      "name": "indoor-scene-reconstruction",
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      "name": "indoor-scene-reconstruction",
            
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      "title": "Indoor Scene Reconstruction"
            
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      "name": "indoor-scene-understanding",
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      "name": "indoor-scene-understanding",
            
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      "title": "Indoor Scene Understanding"
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      "title": "Indoor Scene Understanding"
            
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      "description": "",
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      "name": "scene-understanding",
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      "name": "scene-understanding",
            
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      "description": "",
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      "name": "semantic-segmentation",
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      "name": "semantic-segmentation",
            
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      "title": "Semantic Segmentation"
            
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  "name": "replica",
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  "notes": "The Replica dataset contains 18 various highly 
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  "notes": "The Replica dataset contains 18 various highly 
            
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photo-realistic indoor environments. It provides dense-mesh, 
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photo-realistic indoor environments. It provides dense-mesh, 
            
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high-resolution RGBD images and a large range of instance annotations 
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}