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In this work, we investigate current state-of-the-art methods for the compression of positions, normals, texture coordinates and blend attributes. Our primary objective is to efficiently compress blend attributes in rigged meshes, particularly focusing on bone weights and indices. We leverage a recent hardware advancement: the mesh shading pipeline. This pipeline enables us to propose a novel compression scheme for blend attributes, which achieves a significant reduction in memory usage of up to 92.75% compared to existing state-of-theart methods using a traditional rendering pipeline. Additionally, we briefly discuss and compare different meshlet building algorithms, meshlet buffer structures, and meshlet extensions within the Vulkan framework. Finally, the proposed codecs are validated through a series of benchmarks focused on resource utilization and performance.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "kimmersdorfer-2024-vcpr-image.png", "type": "image/png", "size": 1866926, "path": "Publication:kimmersdorfer-2024-vcpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1869 ], "date_end": "2024-10", "date_start": "2023-01", "matrikelnr": "01326608", "supervisor": [ 848, 1650, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "compression", "vertex data", "vertex compression", "meshlets", "mesh shaders" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "kimmersdorfer-2024-vcpr-image.png", "type": "image/png", "size": 1866926, "path": "Publication:kimmersdorfer-2024-vcpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kimmersdorfer-2024-vcpr-thesis.pdf", "type": "application/pdf", "size": 2269890, "path": "Publication:kimmersdorfer-2024-vcpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/", "__class": "Publication" }, { "id": "xmas-2023", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2023", "date": "2023-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1636, 1869, 1935, 1129, 193 ], "research_areas": [], "keywords": [ "Christmas", "Santa Edi", "Holy Michi", "Vulkan", "Auto-Vk-Toolkit", "Auto-Vk", "Tamashii", "Cyberpunk", "RTX. It's on.", "Christmas Tree" ], "weblinks": [], "files": [ { "description": "Christmas Card as PDF", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2023-Card.pdf", "type": "application/pdf", "size": 1240736, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/", "__class": "Publication" }, { "id": "kimmersdorfer-fancyMaps-2023", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Fancy Alpine Maps", "date": "2023-11", "abstract": "In this report, I detail the significant enhancements and optimizations done to the Alpine Maps renderer.\n\nAdvanced techniques in shading and shadow mapping were integrated to boost visual effects and performance. Benchmarks on two GPUs, an NVIDIA GeForce RTX 3060 Ti and AMD Radeon HD 7700M, demonstrated the effectiveness of these updates. \n\nIn addition to the current updates, the report also outlines future work aimed at further enhancing the efficiency of the Alpine Maps renderer.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "fancy alpine maps teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2362, "image_height": 1772, "name": "kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "type": "image/jpeg", "size": 1507631, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1869 ], "date_end": "2023-11", "date_start": "2023-04", "matrikelnr": "01326608", "supervisor": [ 1110, 1013 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://alpinemaps.org/", "caption": "alpinemaps.org", "description": "Alpine Maps online (see Settings for fancy stuff) ", "main_file": 1 }, { "href": "https://github.com/GeraldKimmersdorfer/fancyalpinemapsrenderer", "caption": "github fancy alpine maps", "description": "Fancy Alpine Maps Github (Alpine Maps fork)", "main_file": 0 }, { "href": "https://github.com/AlpineMapsOrg/renderer", "caption": "github alpine maps", "description": "Alpine Maps GitHub", "main_file": 0 } ], "files": [ { "description": "Windows binaries of the Fancy Alpine Maps project.", "filetitle": "alpine maps v23.11 win", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kimmersdorfer-fancyMaps-2023-alpine maps v23.11 win.zip", "type": "application/x-zip-compressed", "size": 39961999, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-alpine maps v23.11 win.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "fancy alpine maps teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2362, "image_height": 1772, "name": "kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "type": "image/jpeg", "size": 1507631, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser:thumb{{size}}.png" }, { "description": "Detailed project report including implementation details, benchmark results and ideas on future work.", "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kimmersdorfer-fancyMaps-2023-report.pdf", "type": "application/pdf", "size": 525139, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/", "__class": "Publication" }, { "id": "webGPU_aggregateVis-2023", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/187891", "title": "WebGPU for Scalable Client-Side Aggregate Visualization", "date": "2023-06", "abstract": "WebGPU is a new graphics API, which now provides compute shaders for general purpose GPU operations in web browsers. 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