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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Shitong Xu",
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  "author": "Shitong Xu",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2210.04559",
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  "defined_in": "https://doi.org/10.48550/arXiv.2210.04559",
            
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  "doi": "10.57702/roc00gql",
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  "doi": "10.57702/roc00gql",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Imperial College London",
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      "extra_author": "Imperial College London",
            
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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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      "description": "",
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      "description": "",
            
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      "display_name": "Image Captioning",
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      "display_name": "Image Captioning",
            
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      "id": "7a76ce67-2607-4da9-a837-d2017dc33ec6",
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      "id": "7a76ce67-2607-4da9-a837-d2017dc33ec6",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "image-captioning",
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      "name": "image-captioning",
            
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      "title": "Image Captioning"
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      "title": "Image Captioning"
            
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    }
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    }
            
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  ],
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  ],
            
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  "isopen": false,
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  "landing_page": 
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  "landing_page": 
            
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"https://github.com/xu-shitong/diffusion-image-captioning",
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"https://github.com/xu-shitong/diffusion-image-captioning",
            
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  "license_title": null,
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  "license_title": null,
            
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  "metadata_created": "2024-12-16T18:07:49.308413",
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  "metadata_created": "2024-12-16T18:07:49.308413",
            
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  "metadata_modified": "2024-12-16T18:07:49.699168",
            
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  "name": 
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  "name": 
            
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"clip-diffusion-lm--apply-diffusion-model-on-image-captioning",
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"clip-diffusion-lm--apply-diffusion-model-on-image-captioning",
            
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  "notes": "Image captioning task has been extensively researched by 
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  "notes": "Image captioning task has been extensively researched by 
            
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previous work. However, limited experiments focus on generating 
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previous work. However, limited experiments focus on generating 
            
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captions based on non-autoregressive text decoder. Inspired by the 
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captions based on non-autoregressive text decoder. Inspired by the 
            
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recent success of the denoising diffusion model on image synthesis 
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recent success of the denoising diffusion model on image synthesis 
            
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tasks, we apply denoising diffusion probabilistic models to text 
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tasks, we apply denoising diffusion probabilistic models to text 
            
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generation in image captioning tasks.",
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generation in image captioning tasks.",
            
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  "tags": [
            
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    {
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    {
            
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      "display_name": "CLIP",
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      "display_name": "CLIP",
            
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      "id": "b5ca1899-21f6-4744-b974-a72e6c60b3bb",
            
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      "name": "CLIP",
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      "name": "CLIP",
            
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      "state": "active",
            
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      "id": "b1ffb3f6-eb3b-4683-870c-21d4ea6be4a9",
            
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      "name": "Diffusion model",
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      "name": "Diffusion model",
            
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    },
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    {
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    {
            
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      "display_name": "Non-autoregressive text generation",
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      "display_name": "Non-autoregressive text generation",
            
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      "id": "e20ea6b7-bb1b-4ff7-8921-f33358a4a1c1",
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      "id": "e20ea6b7-bb1b-4ff7-8921-f33358a4a1c1",
            
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      "name": "Non-autoregressive text generation",
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      "name": "Non-autoregressive text generation",
            
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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": "CLIP-DIFFUSION-LM: APPLY DIFFUSION MODEL ON IMAGE 
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  "title": "CLIP-DIFFUSION-LM: APPLY DIFFUSION MODEL ON IMAGE 
            
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CAPTIONING",
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CAPTIONING",
            
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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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}