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  "author": "Kun Zhou",
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  "author": "Kun Zhou",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2303.06919",
            
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  "doi": "10.57702/yipws2pq",
            
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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": "Wenbo Li",
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      "extra_author": "Wenbo Li",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Nianjuan Jiang",
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      "extra_author": "Nianjuan Jiang",
            
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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": "Xiaoguang Han",
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      "extra_author": "Xiaoguang Han",
            
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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": "Jiangbo Lu",
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      "extra_author": "Jiangbo Lu",
            
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      "orcid": ""
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    }
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      "name": "image-synthesis",
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      "name": "image-synthesis",
            
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      "title": "Image Synthesis"
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      "title": "Image Synthesis"
            
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    },
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Neural Radiance Fields",
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      "name": "neural-radiance-fields",
            
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      "title": "Neural Radiance Fields"
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  "name": "noisy-llff-synthetic",
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  "name": "noisy-llff-synthetic",
            
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  "notes": "The dataset used in the paper is a large-scale paired 
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  "notes": "The dataset used in the paper is a large-scale paired 
            
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dataset for training a NeRF-agnostic restorer. It consists of 8 
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dataset for training a NeRF-agnostic restorer. It consists of 8 
            
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virtual scenes, each with 400 images.",
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      "name": "Neural Radiance Fields",
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  "title": "Noisy LLFF Synthetic",
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}