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  "author": "Xin Yu",
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  "author": "Xin Yu",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Yuan-Chen Guo",
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      "extra_author": "Yuan-Chen Guo",
            
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    },
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    {
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      "extra_author": "Yangguang Li",
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      "extra_author": "Yangguang Li",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Ding Liang",
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Song-Hai Zhang",
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      "extra_author": "Song-Hai Zhang",
            
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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": "Xiaojuan Qi",
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      "extra_author": "Xiaojuan Qi",
            
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      "orcid": ""
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  "name": "classifier-score-distillation",
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  "name": "classifier-score-distillation",
            
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  "notes": "Text-to-3D generation has made remarkable progress 
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  "notes": "Text-to-3D generation has made remarkable progress 
            
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recently, particularly with methods based on Score Distillation 
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recently, particularly with methods based on Score Distillation 
            
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Sampling (SDS) that leverages pre-trained 2D diffusion models.",
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Sampling (SDS) that leverages pre-trained 2D diffusion models.",
            
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  "title": "Classifier Score Distillation",
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