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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Chaohui Yu",
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  "author": "Chaohui Yu",
            
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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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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2307.13908",
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  "defined_in": "https://doi.org/10.48550/arXiv.2307.13908",
            
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  "doi": "10.57702/zue83m7v",
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  "doi": "10.57702/zue83m7v",
            
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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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  "domain": "https://service.tib.eu/ldmservice",
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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": "Qiang Zhou",
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      "extra_author": "Qiang Zhou",
            
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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": "Jingliang Li",
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      "extra_author": "Jingliang Li",
            
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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": "Zhe Zhang",
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      "extra_author": "Zhe 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": "Zhibin Wang",
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      "extra_author": "Zhibin Wang",
            
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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": "Fan Wang",
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      "extra_author": "Fan Wang",
            
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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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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Shape-Controllable 3D Generation",
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      "display_name": "Shape-Controllable 3D Generation",
            
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      "id": "945fd2c6-fb86-4077-9ed3-111e9a7284da",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "shape-controllable-3d-generation",
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      "name": "shape-controllable-3d-generation",
            
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      "title": "Shape-Controllable 3D Generation"
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      "title": "Shape-Controllable 3D Generation"
            
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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": "Text-to-3D Generation",
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      "display_name": "Text-to-3D Generation",
            
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      "id": "061d2d90-85de-40e4-88e5-b707757a8ce3",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "text-to-3d-generation",
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      "name": "text-to-3d-generation",
            
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      "title": "Text-to-3D Generation"
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      "title": "Text-to-3D Generation"
            
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    }
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    }
            
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  ],
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  ],
            
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-02T22:02:26.629950",
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  "metadata_created": "2024-12-02T22:02:26.629950",
            
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  "metadata_modified": "2024-12-02T22:02:26.629956",
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  "metadata_modified": "2024-12-02T22:02:27.234507",
            
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  "name": 
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  "name": 
            
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p-between-sparse-points-and-shape-controllable-text-to-3d-generation",
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p-between-sparse-points-and-shape-controllable-text-to-3d-generation",
            
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  "notes": "Text-to-3D generation has recently garnered significant 
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  "notes": "Text-to-3D generation has recently garnered significant 
            
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attention, fueled by 2D diffusion models trained on billions of 
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attention, fueled by 2D diffusion models trained on billions of 
            
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image-text pairs. Existing methods primarily rely on score 
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image-text pairs. Existing methods primarily rely on score 
            
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distillation to leverage the 2D diffusion priors to supervise the 
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distillation to leverage the 2D diffusion priors to supervise the 
            
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generation of 3D models, e.g., NeRF. However, score distillation is 
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generation of 3D models, e.g., NeRF. However, score distillation is 
            
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prone to suffer the view inconsistency problem, and implicit NeRF 
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prone to suffer the view inconsistency problem, and implicit NeRF 
            
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modeling can also lead to an arbitrary shape, thus leading to less 
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modeling can also lead to an arbitrary shape, thus leading to less 
            
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realistic and uncontrollable 3D generation. In this work, we propose a 
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realistic and uncontrollable 3D generation. In this work, we propose a 
            
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flexible framework of Points-to-3D to bridge the gap between sparse 
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flexible framework of Points-to-3D to bridge the gap between sparse 
            
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yet freely available 3D points and realistic shape-controllable 3D 
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yet freely available 3D points and realistic shape-controllable 3D 
            
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generation by distilling the knowledge from both 2D and 3D diffusion 
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generation by distilling the knowledge from both 2D and 3D diffusion 
            
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models.",
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models.",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "id": "55e4ed7b-67d0-4e00-9e10-2fa2bf2aaa57",
            
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "realistic 3D generation",
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      "display_name": "realistic 3D generation",
            
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      "id": "e57d430b-9d42-406a-83b8-687f06d70ca1",
            
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      "name": "realistic 3D generation",
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      "name": "realistic 3D generation",
            
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    {
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    {
            
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      "display_name": "shape-controllable 3D generation",
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      "display_name": "shape-controllable 3D generation",
            
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      "id": "f1e82109-66fb-417d-a14f-1998cb11b152",
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      "id": "f1e82109-66fb-417d-a14f-1998cb11b152",
            
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      "name": "shape-controllable 3D generation",
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      "name": "shape-controllable 3D generation",
            
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      "state": "active",
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      "state": "active",
            
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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": "sparse 3D points",
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      "display_name": "sparse 3D points",
            
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      "id": "ebe28c33-346a-470b-903a-e9907e985475",
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      "id": "ebe28c33-346a-470b-903a-e9907e985475",
            
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      "name": "sparse 3D points",
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      "name": "sparse 3D points",
            
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      "state": "active",
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      "state": "active",
            
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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": "Points-to-3D: Bridging the Gap between Sparse Points and 
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  "title": "Points-to-3D: Bridging the Gap between Sparse Points and 
            
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Shape-Controllable Text-to-3D Generation",
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Shape-Controllable Text-to-3D Generation",
            
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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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}