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  "access_rights": "",
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  "author": "Yong-Goo Shin",
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  "author": "Yong-Goo Shin",
            
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  "author_email": "",
            
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  "doi": "10.57702/3xqot2mr",
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  "doi": "10.57702/3xqot2mr",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Min-Cheol Sagong",
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      "extra_author": "Min-Cheol Sagong",
            
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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": "Yoon-Jae Yeo",
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      "extra_author": "Yoon-Jae Yeo",
            
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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": "Seung-Wook Kim",
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      "extra_author": "Seung-Wook Kim",
            
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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": "Sung-Jea Ko",
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      "extra_author": "Sung-Jea Ko",
            
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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": "Image Inpainting",
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      "display_name": "Image Inpainting",
            
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      "name": "image-inpainting",
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      "name": "image-inpainting",
            
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      "title": "Image Inpainting"
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      "title": "Image Inpainting"
            
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    }
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  ],
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  "id": "d0ba24a7-81f0-47b5-9733-430036db8bf7",
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  "landing_page": "https://arxiv.org/abs/2006.11111",
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  "metadata_created": "2024-12-16T17:52:32.048556",
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  "name": 
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  "name": 
            
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"pepsi----fast-and-lightweight-network-for-image-inpainting",
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"pepsi----fast-and-lightweight-network-for-image-inpainting",
            
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  "notes": "The dataset used in the paper is not explicitly described, 
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  "notes": "The dataset used in the paper is not explicitly described, 
            
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but it is mentioned that the authors used the CelebA-HQ, ImageNet, and 
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but it is mentioned that the authors used the CelebA-HQ, ImageNet, and 
            
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Place2 datasets.",
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Place2 datasets.",
            
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distributions based on DCAT.",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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    {
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    {
            
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      "display_name": "Image Inpainting",
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      "display_name": "Image Inpainting",
            
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      "id": "249891df-eff1-4cdc-ae40-d072914fe081",
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      "id": "249891df-eff1-4cdc-ae40-d072914fe081",
            
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      "name": "Image Inpainting",
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      "name": "Image Inpainting",
            
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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": "PEPSI++: Fast and Lightweight Network for Image 
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  "title": "PEPSI++: Fast and Lightweight Network for Image 
            
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Inpainting",
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Inpainting",
            
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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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}