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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Jianrong Zhang",
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  "author": "Jianrong Zhang",
            
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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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  "defined_in": "",
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  "doi": "10.57702/zz8w5z3w",
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  "doi": "10.57702/zz8w5z3w",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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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": "Yangsong Zhang",
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      "extra_author": "Yangsong 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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    {
            
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      "extra_author": "Xiaodong Cun",
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      "extra_author": "Xiaodong Cun",
            
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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": "Shaoli Huang",
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      "extra_author": "Shaoli Huang",
            
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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": "Hongwei Zhao",
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      "extra_author": "Hongwei Zhao",
            
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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": "Hongtao Lu",
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      "extra_author": "Hongtao Lu",
            
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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": "Xi Shen",
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      "extra_author": "Xi Shen",
            
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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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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Human Motion Synthesis",
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      "display_name": "Human Motion Synthesis",
            
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      "name": "human-motion-synthesis",
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      "name": "human-motion-synthesis",
            
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      "title": "Human Motion Synthesis"
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      "title": "Human Motion Synthesis"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Text-Driven Human Motion Generation",
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      "display_name": "Text-Driven Human Motion Generation",
            
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      "name": "text-driven-human-motion-generation",
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      "name": "text-driven-human-motion-generation",
            
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      "title": "Text-Driven Human Motion Generation"
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      "title": "Text-Driven Human Motion Generation"
            
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    }
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    }
            
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  ],
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  "landing_page": "https://mael-zys.github.io/T2M-GPT/",
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  "landing_page": "https://mael-zys.github.io/T2M-GPT/",
            
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  "license_title": null,
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  "metadata_created": "2024-12-02T21:44:53.881784",
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  "metadata_modified": "2024-12-02T21:44:54.543337",
            
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  "name": 
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  "name": 
            
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human-motion-from-textual-descriptions-with-discrete-representations",
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human-motion-from-textual-descriptions-with-discrete-representations",
            
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  "notes": "Generating motion from textual descriptions can be used in 
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  "notes": "Generating motion from textual descriptions can be used in 
            
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numerous applications in the game industry, \ufb01lm-making, and 
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numerous applications in the game industry, \ufb01lm-making, and 
            
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animating robots. For example, a typical way to access new motion in 
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animating robots. For example, a typical way to access new motion in 
            
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the game industry is to perform motion capture, which is expensive. 
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the game industry is to perform motion capture, which is expensive. 
            
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Therefore automatically generating motion from textual descriptions, 
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Therefore automatically generating motion from textual descriptions, 
            
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which allows producing meaningful motion data, could save time and be 
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which allows producing meaningful motion data, could save time and be 
            
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more economical.",
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more economical.",
            
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    "approval_status": "approved",
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      "created": "2024-12-02T22:29:38",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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  "tags": [
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  "tags": [
            
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    {
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      "display_name": "discrete representations",
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      "display_name": "discrete representations",
            
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    {
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    {
            
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      "display_name": "human motion",
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      "display_name": "human motion",
            
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      "id": "2076e6b1-7e7f-4898-8aa9-a829f12c98c1",
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      "id": "2076e6b1-7e7f-4898-8aa9-a829f12c98c1",
            
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      "name": "human motion",
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      "name": "human motion",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "textual descriptions",
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      "display_name": "textual descriptions",
            
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      "id": "edaf6ec7-7d89-4c94-94b8-f3387498b028",
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      "id": "edaf6ec7-7d89-4c94-94b8-f3387498b028",
            
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      "name": "textual descriptions",
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      "name": "textual descriptions",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "T2M-GPT: Generating Human Motion from Textual Descriptions 
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  "title": "T2M-GPT: Generating Human Motion from Textual Descriptions 
            
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with Discrete Representations",
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with Discrete Representations",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}