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  "access_rights": "",
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  "author": "Jingzhe Ma",
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  "author": "Jingzhe Ma",
            
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  "author_email": "",
            
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  "doi": "10.57702/ig9shunv",
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  "doi": "10.57702/ig9shunv",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Xiaoqing Zhang",
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      "extra_author": "Xiaoqing 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": "Shiqi Yu",
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      "extra_author": "Shiqi Yu",
            
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      "orcid": ""
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      "display_name": "Human Motion Transfer",
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      "name": "human-motion-transfer",
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      "name": "human-motion-transfer",
            
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      "title": "Human Motion Transfer"
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      "title": "Human Motion Transfer"
            
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      "description": "",
            
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      "name": "identity-preservation",
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      "name": "identity-preservation",
            
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      "title": "Identity Preservation"
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      "title": "Identity Preservation"
            
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  "metadata_created": "2024-12-02T22:44:00.023566",
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  "metadata_created": "2024-12-02T22:44:00.023566",
            
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  "metadata_modified": "2024-12-02T22:44:00.645818",
            
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  "name": "an-identity-preserved-framework-for-human-motion-transfer",
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  "name": "an-identity-preserved-framework-for-human-motion-transfer",
            
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  "notes": "Human motion transfer (HMT) aims to generate a video clip 
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  "notes": "Human motion transfer (HMT) aims to generate a video clip 
            
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for the target subject by imitating the source subject\u2019s motion. 
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for the target subject by imitating the source subject\u2019s motion. 
            
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Although previous methods have achieved good results in synthesizing 
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Although previous methods have achieved good results in synthesizing 
            
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good-quality videos, they lose sight of individualized motion 
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good-quality videos, they lose sight of individualized motion 
            
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information from the source and target motions, which is significant 
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information from the source and target motions, which is significant 
            
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for the realism of the motion in the generated video.",
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for the realism of the motion in the generated video.",
            
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      "name": "Identity Preservation",
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  "title": "An Identity-Preserved Framework for Human Motion 
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  "title": "An Identity-Preserved Framework for Human Motion 
            
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Transfer",
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Transfer",
            
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}
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}