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  "access_rights": "",
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  "author": "Xin Kong",
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  "author": "Xin Kong",
            
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  "author_email": "",
            
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  "doi": "10.57702/qhbmtyy6",
            
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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": "Shikun Liu",
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      "extra_author": "Shikun Liu",
            
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    },
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      "extra_author": "Xiaoyang Lyu",
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      "extra_author": "Xiaoyang Lyu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Marwan Taher",
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      "extra_author": "Marwan Taher",
            
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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": "Xiaojuan Qi",
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      "extra_author": "Xiaojuan Qi",
            
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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": "Andrew J. Davison",
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      "extra_author": "Andrew J. Davison",
            
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      "orcid": ""
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      "orcid": ""
            
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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": "view-synthesis",
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      "name": "view-synthesis",
            
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      "title": "View Synthesis"
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      "title": "View Synthesis"
            
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  "name": "eschernet--a-generative-model-for-scalable-view-synthesis",
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  "name": "eschernet--a-generative-model-for-scalable-view-synthesis",
            
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  "notes": "EscherNet is a multi-view conditioned diffusion model 
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  "notes": "EscherNet is a multi-view conditioned diffusion model 
            
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designed for scalable view synthesis. It leverages Stable Diffusion's 
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designed for scalable view synthesis. It leverages Stable Diffusion's 
            
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2D architecture empowered by the innovative Camera Positional 
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2D architecture empowered by the innovative Camera Positional 
            
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Embedding (CaPE), EscherNet adeptly learns implicit 3D representations 
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Embedding (CaPE), EscherNet adeptly learns implicit 3D representations 
            
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from varying number of reference views, achieving consistent 3D novel 
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from varying number of reference views, achieving consistent 3D novel 
            
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view synthesis.",
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view synthesis.",
            
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    {
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      "display_name": "view synthesis",
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      "display_name": "view synthesis",
            
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      "id": "f7ec40d8-9849-46f6-ae4e-557b8bdbd4f4",
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      "id": "f7ec40d8-9849-46f6-ae4e-557b8bdbd4f4",
            
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      "name": "view synthesis",
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      "name": "view synthesis",
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "EscherNet: A Generative Model for Scalable View 
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  "title": "EscherNet: A Generative Model for Scalable View 
            
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Synthesis",
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Synthesis",
            
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  "version": ""
            
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}
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}