{ "table_of_contents": [ { "title": "Diffusion Models for Image Restoration and\nEnhancement \u2013 A Comprehensive Survey", "heading_level": null, "page_id": 0, "polygon": [ [ 75.72296142578125, 52.455811500549316 ], [ 545.5290541648865, 50.908936500549316 ], [ 545.5290541648865, 107.6195068359375 ], [ 75.72296142578125, 107.6195068359375 ] ] }, { "title": "1 INTRODUCTION", "heading_level": null, "page_id": 0, "polygon": [ [ 48.275001525878906, 357.3680419921875 ], [ 139.87065875530243, 357.3680419921875 ], [ 139.87065875530243, 369.9409532546997 ], [ 48.275001525878906, 369.9409532546997 ] ] }, { "title": "2 BACKGROUND ON DIFFUSION MODEL (DM)", "heading_level": null, "page_id": 2, "polygon": [ [ 46.945954978466034, 305.69403076171875 ], [ 278.9649963378906, 305.69403076171875 ], [ 278.9649963378906, 317.24554324150085 ], [ 46.945954978466034, 317.24554324150085 ] ] }, { "title": "2.1 Noise Conditioned Score Networks (NCSNs)", "heading_level": null, "page_id": 2, "polygon": [ [ 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606.0040740966797 ] ] }, { "title": "APPENDIX B", "heading_level": null, "page_id": 32, "polygon": [ [ 48.275001525878906, 695.7883214950562 ], [ 115.97642827033997, 694.2414464950562 ], [ 114.78111577033997, 707.5169649124146 ], [ 47.420652866363525, 709.0638399124146 ] ] }, { "title": "IMPLEMENTATION DETAILS", "heading_level": null, "page_id": 32, "polygon": [ [ 48.26136687397957, 708.462188243866 ], [ 178.46338820457458, 708.462188243866 ], [ 177.29180908203125, 720.5430603027344 ], [ 47.06605437397957, 720.5430603027344 ] ] }, { "title": "TABLE 10: Implementation details used in zero-shot diffusion model-based methods", "heading_level": null, "page_id": 33, "polygon": [ [ 125.04649293422699, 481.9491391181946 ], [ 484.6400146484375, 480.4022641181946 ], [ 484.6400146484375, 491.90606689453125 ], [ 125.04649293422699, 492.8517565727234 ] ] } ], "page_stats": [ { "page_id": 0, "text_extraction_method": "pdftext", "block_counts": [ [ "Span", 221 ], [ "Line", 89 ], [ "Text", 5 ], [ 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