[ { "id": "Zezulka_Matthias-2023-MatLabOptInterface", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Bidirectional MATLAB/C++ Interface for Lighting Design Optimization", "date": "2023-12", "abstract": "The lighting design of (virtual) space is an important aspect of our daily environment. It\nnot only allows for creative expression but is often a necessary asset in professional work\nenvironments and artistic productions. However, due to the computational complexity of\nthis problem, current solutions are usually built in performance-oriented programming\nlanguages that offer a detailed low-level view of the application on the one hand but\ndo not allow for fast development and easy exchange of algorithms on the other. This\nwork builds on the already existing C++ rendering framework Tamashii, proposed\nby Lipp et al. in 2023 [20], which offers view-independent and gradient-based global\nlighting design optimization. We propose a way to integrate MATLAB functions into the\noptimization process in order to not only allow for easier development of optimization\nalgorithms but also enable access to MATLAB’s existing code base and numerical analysis\ntools. We therefore implement a bidirectional MATLAB/C++ interface for exchanging\noptimization data between the rendering process and the MATLAB process. In order to\nachieve this functionality, we use the MATLAB Engine API for C++ and the MATLAB\nMEX API, which are both natively contained within MATLAB. Further, we implement a\nmechanism for inter-process communication using Windows Named Pipes and a custom\ncommunication protocol.\nIn addition, this work also briefly discusses various optimization methods and the use\nof Surrogate-Based Optimization (SBO) for the global lighting design problem. We\nshow that our method achieves great performance and evaluate it against plain C++\nimplementations on two test scenes by not only testing optimization methods via the\ninterface but also testing simple rendering of new lighting configurations. The test results\nalso show that MALTAB’s current SBO implementation can bring good performance to\nthe optimization problem we encounter in Tamashii in certain scenes. Lastly, we discuss\nthe increased usability and insight into optimization methods achieved by integrating\nMATLAB into Tamashii.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "authors": [ { "id": 5257, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Matthias", "lastname": "Zezulka", "searchname": "Matthias Zezulka", "is_teacher": false, "name": "Matthias Zezulka", "publications": [ "Zezulka_Matthias-2023-MatLabOptInterface" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5257", "__class": "Author" } ], "date_end": "2023-12-18", "date_start": "2023-03-15", "matrikelnr": "e11914298", "supervisor": [ { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", 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"field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Petersen_Viktoria-2024-SBO", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Preymann-2022-pytamashii", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Schwengerer_Mathias-2022-BGL", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "Zezulka_Matthias-2023-MatLabOptInterface", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1946", "__class": "Author" } ], "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf", "type": "application/pdf", "size": 4185305, "path": "Publication:Zezulka_Matthias-2023-MatLabOptInterface", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/", "__class": "Publication" }, { "id": "Koeppl-2023-DLO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Gradient-based Light Optimization with Variable Light Count: Dynamic Generation and Merging of Light Sources", "date": "2023-12", "abstract": "This thesis focuses on improvements for an interactive lighting design approach that\nutilizes GPU-accelerated ray tracing and a view-independent global illumination solver.\nOur goal is to enable automated lighting design for a set of user-specified illumination\ntargets in 3D scenes. Current solvers are highly effective but still have some limitations.\nFor instance, they rely on an initial number of light sources and their respective placements\nin a given 3D scene and this can result in insufficient solutions when there are more target\nspots than provided light sources. On the other hand, if there are more light sources\nthan needed, the resulting solution can be sub-optimal, leading to superimposed lights\nthat can negatively impact performance and increase computational cost.\nIn response to the limitations, we investigate several strategies for increasing the effectiveness\nand efficiency of the optimization algorithm by developing a dynamic light\nsource generation approach that programmatically inserts and removes lights in the 3D\nscene to achieve a more refined light placement. In our results, we show that our specialized\noptimization approach, yields improved lighting solutions compared to established\nalgorithms.\nMoreover, we also implement a light source merging technique to address the issue of\nlight sources with overlapping areas of influence. By formulating conditions on intensity\nand proximity and then applying linear interpolation, we can combine overlapping light\nsources in a way that minimizes performance impact and computational cost. We also\ntake measures to remove lights with a small illumination contribution to the scene\nduring the optimization process. Evidence from our study suggests that our approach of\nexpanding the solution space and improving the light source placement achieves superior\nlighting solutions for any given scene.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "authors": [ { "id": 5237, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "David", "lastname": "Köppl", "searchname": "David Köppl", "is_teacher": false, "name": "David Köppl", "publications": [ "Koeppl-2023-DLO" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5237", "__class": "Author" } ], "date_end": "2023-12-18", "date_start": "2023-02-28", "matrikelnr": "e12022493", "supervisor": [ { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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Thesis:thumb{{size}}.png" } }, "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
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Our formulation integrates time-dependent solar irradiation data without requiring changes in the transport operator, allowing us to quickly analyze many different scenarios such as common weather patterns, monthly or yearly averages, or transient simulations spanning multiple days or weeks. 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models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "thermal radiation", "rendering", "computer graphics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-prh-paper.pdf", "type": "application/pdf", "size": 10540215, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" }, { "id": "d9259", "workgroup_id": "rend", "drupal_id": 9259, "name": "Toward Optimal Path Guiding for Photorealistic Rendering", "name_de": "Toward Optimal Path Guiding for Photorealistic Rendering", "website": null, "status": "active", "short_abstract": null, "abstract": null, "start_date": "2023-02-01", "end_date": "2027-01-31", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [ "Rendering" ], "publications": [ "freude-2023-prh" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d9259", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/", "__class": "Publication" }, { "id": "wimmer-2023-acd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/188946", "title": "Advanced Computational Design", "date": "2023-10-07", "abstract": "Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society (New European Bauhaus initiative). However, it is among the least digitized industries, caught in silo-thinking and sequential planning processes. In contrast, Information and Communication Technology creates digital design tools that are well-founded in basic research, but often lack relevant domain knowledge. Therefore, we investigate how to advance digital design tools and design processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics. Particular focus will be placed on complexity that emerges from larger-scale structures, consideration of sustainability requirements, and deeper integration of simulations in the early design phase, where the biggest impact can be achieved.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "authors": [ { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "location": "Stuttgart", "research_areas": [ { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler-2020-p2s", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "pogrzebacz-2014-gggm", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2020-parameter", "steinschorn-2023-p2m", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" } ], "keywords": [ "Computational Design", "Architecture" ], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wimmer-2023-acd/", "__class": "Publication" }, { "id": "reisinger-2023-iad", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/188467", "title": "Integrating AEC Domain-Specific Multidisciplinary Knowledge for Informed and Interactive Feedback in Early Design Stages", "date": "2023-10", "abstract": "In the context of digitalization in the industry, a variety of technologies has been developed for system integration and enhanced team collaboration in the Architecture, Engineering and Construction (AEC) industry. Multidisciplinary design requirements are characterized by a high degree of complexity. Early design methods often rely on implicit or experiential design knowledge, whereas contemporary digital design tools mostly reflect domain-specific silo thinking with time-consuming iterative design processes. Yet, the early design stages hold the greatest potential for design optimization. This paper presents a framework of a multidisciplinary computational integration platform for early design stages that enables integration of AEC domain-specific methods from architecture, engineering, mathematics and computer science. The platform couples a semantic integrative mixed reality sketching application to a shape inference machine-learning based algorithm to link methods for different computation, simulation and digital fabrication tasks. A proof of concept of the proposed framework is presented for the use case of a freeform geometry wall. Future research will explore the potential of the framework to be extended to larger building projects with the aim to connect the method into BIM-processes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "authors": [ { "id": 1874, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Julia", "lastname": "Reisinger", "searchname": "Julia Reisinger", "is_teacher": false, "name": "Julia Reisinger", "publications": [ "podkosova_2022_bimflexi-vr", "rasoulzadeh-2023-ani", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "reisinger-2023-iad" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "reisinger-2023-iad", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1874", "__class": "Author" }, { "id": 5233, "drupal_id": null, "orcid_id": "0000-0002-0019-0137", "website": null, "firstname": "Shervin", "lastname": "Rasoulzadeh", "searchname": "Shervin Rasoulzadeh", "is_teacher": false, "name": "Shervin Rasoulzadeh", "publications": [ "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "reisinger-2023-iad" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "rasoulzadeh-2022-strokes2surface", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5233", "__class": "Author" }, { "id": 1487, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Bálint Istvan", "lastname": "Kovács", "searchname": "Bálint Istvan Kovács", "is_teacher": false, "name": "Bálint Istvan Kovács", "publications": [ "Kovacs_2017", "Kovacs_2020", "kovacs-2023-ttm", "reisinger-2023-iad", "Vasylevska2020VRB" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "kovacs-2023-ttm", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1487", "__class": "Author" }, { "id": 240, "drupal_id": 474, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PeterFerschin", "firstname": "Peter", "lastname": "Ferschin", "searchname": "Peter Ferschin", "is_teacher": false, "name": "Peter Ferschin", "publications": [ "elias-1994-mont", "ferschin-1991-kons", "ferschin-1992-kons", "ferschin-1992-parallel", "ferschin-1992-real", "ferschin-1994-comp", "ferschin-1994-imp", "ferschin-1994-sim", "ferschin-1994-two", "Ferschin-thesis", "Honic_2021", "Kan_Peter-2021-BuildingMonitoring", "kovacs-2023-ttm", "Leiss-1998-Rad", "reisinger-2023-iad", "wimmer-2022-acd" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "ferschin-1992-kons", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=240", "__class": "Author" }, { "id": 1712, "drupal_id": 1520, "orcid_id": "0000-0003-4485-9928", "website": "https://www.cg.tuwien.ac.at/staff/KhrystynaVasylevska", "firstname": "Khrystyna", "lastname": "Vasylevska", "searchname": "Khrystyna Vasylevska", "is_teacher": false, "name": "Khrystyna Vasylevska", "publications": [ "Mortezapoor2021ssc", "reisinger-2023-iad", "Vasylevska_Khrystyna-2019-TEFVR", "Vasylevska2020VRB" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Kovacs_2020", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Vasylevska_Khrystyna-2019-TEFVR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Vasylevska2020VRB", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1712", "__class": "Author" }, { "id": 5202, "drupal_id": null, "orcid_id": "0000-0001-5899-5643", "website": null, "firstname": "Michael", "lastname": "Hensel", "searchname": "Michael Hensel", "is_teacher": false, "name": "Michael Hensel", "publications": [ "reisinger-2023-iad", "wimmer-2022-acd" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5202", "__class": "Author" }, { "id": 1799, "drupal_id": null, "orcid_id": "0000-0002-0303-3284", "website": null, "firstname": "Iva", "lastname": "Kovacic", "searchname": "Iva Kovacic", "is_teacher": false, "name": "Iva Kovacic", "publications": [ "Honic_2021", "honic-2020-w78", "Kan_Peter-2021-BuildingMonitoring", "podkosova_2022_bimflexi-vr", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "reisinger-2023-iad", "wimmer-2022-acd" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1799", "__class": "Author" }, { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", "santos-2017-dacge", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer2011c", "scherzer2011d", "SCHUETZ-2015-HQP", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", 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on Computing in Civil and Building Engineering (ICCCBE 2022)", "isbn": "978-3-031-32515-1", "lecturer": [ { "id": 1874, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Julia", "lastname": "Reisinger", "searchname": "Julia Reisinger", "is_teacher": false, "name": "Julia Reisinger", "publications": [ "podkosova_2022_bimflexi-vr", "rasoulzadeh-2023-ani", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "reisinger-2023-iad" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "reisinger-2023-iad", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1874", "__class": "Author" } ], "location": "Cape Town", "pages": "18", "pages_from": "153", "pages_to": "170", "publisher": "Springer", "volume": "358", "research_areas": [ { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler-2020-p2s", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "pogrzebacz-2014-gggm", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2020-parameter", "steinschorn-2023-p2m", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" } ], "keywords": [ "Integrated Design", "Early Design Stage", "Mixed Reality Sketching", "Shape Inference", "Computational Design", "Integration Platform", "Digital Fabrication" ], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/reisinger-2023-iad/", "__class": "Publication" }, { "id": "Preymann-2022-pytamashii", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Scripting Automation for Tamashii", "date": "2023-09", "abstract": "We extend the Tamashii scientific rendering framework with an interface to the Python scripting language to automate the process of documenting and comparing results of different approaches, simplifying the development of experimental code, and seamlessly integrating with existing libraries. The framework is a research platform enabling the implementation of various graphics processing unit (GPU) driven (differentiable) rendering tasks and is currently under development by the institute for computer graphics at TU Wien. Tamashii offers a large set of premade functionality common to these workflows that can be leveraged by researchers to create their own custom implementations. The focus of this thesis is the integration of the Python programming language into the framework in a way that benefits all projects utilizing Tamashii in their research. With this addition the steps of loading scenes, configuring the rendering process and exporting the generated data can now be controlled using scripting. Furthermore, with the ability to employ Python directly, access to the whole ecosystem of third party software and libraries opens up, which includes many prevalent projects for optimization and machine learning algorithms. In this thesis we identify the required features and properties of such an interface, explain the design process, give technical details on the realization and finally evaluate the result by demonstrating its use.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "authors": [ { "id": 5199, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Matthias", "lastname": "Preymann", "searchname": "Matthias Preymann", "is_teacher": false, "name": "Matthias Preymann", "publications": [ "Preymann-2022-pytamashii" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5199", "__class": "Author" } ], "date_end": "2023-09", "date_start": "2022-10", "matrikelnr": "e12020638", "supervisor": [ { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Preymann-2022-pytamashii-BSc thesis.pdf", "type": "application/pdf", "size": 7488242, "path": "Publication:Preymann-2022-pytamashii", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis:thumb{{size}}.png" } }, "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/", "__class": "Publication" }, { "id": "Schwengerer_Mathias-2022-BGL", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Inverse Method for Baked Lighting", "date": "2023-08-23", "abstract": "In this thesis, we present a novel application of inverse rendering through the use case of estimating light source parameters from baked lighting information bundled with a 3D scene.\nAs input, we use a scene file that contains the geometry and the baked lighting information of a scene.\nThe extracted scene information is then used to estimate a lighting configuration.\nWith the resulting lighting configuration, it is possible to reproduce a closely matched shading of the scene.\n\nBecause of hardware limitations, real-time rendering applications such as video games have historically provided limited realism in terms of lighting.\nBaked lighting was a common method used to illuminate the scene under real-time constraints.\nNowadays, hardware-supported ray tracing enables dynamic lighting and global illumination in real time.\nOur method aims to build a physically based lighting setup that comes as close to the baked lightmaps as possible.\nThis reconstructed lighting setup allows the relighting of the scene through advanced rendering effects such as dynamic lighting, indirect lighting, reflections, refractions, and soft shadows.\nThis could facilitate the process of bringing classic games up to modern standards, especially when the original data is unavailable or lost.\n\nThis project relies on a differentiable rendering framework under development in the Rendering and Modeling Group (Prof. Wimmer, TU Wien).\nThe goal of this bachelor's thesis is to evaluate and demonstrate the capabilities of an inverse rendering method built on this system.\nSpecifically, we aim to estimate light sources from existing precalculated lightmaps used in the game Quake III Arena.\nFor this purpose, our first step is to extract the geometry and lightmaps from a scene file, import the data into the rendering framework, and then implement a suitable optimization scheme to construct new light sources.\nWith these new light sources, we can render the scenes using ray tracing and global illumination to achieve realistic lighting effects, including indirect lighting, accurate reflections, and soft shadows.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "authors": [ { "id": 1916, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Mathias", "lastname": "Schwengerer", "searchname": "Mathias Schwengerer", "is_teacher": false, "name": "Mathias Schwengerer", "publications": [ "Schwengerer_Mathias-2022-BGL" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1916", "__class": "Author" } ], "date_end": "2023-08-23", "date_start": "2021-12-22", "matrikelnr": "e1527875", "supervisor": [ { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "lighting", "inverse rendering", "optimization" ], "weblinks": [], "files": [ { "description": "main document", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Schwengerer_Mathias-2022-BGL-Thesis.pdf", "type": "application/pdf", "size": 4753811, "path": "Publication:Schwengerer_Mathias-2022-BGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/", "__class": "Publication" }, { "id": "kovacs-2023-ttm", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/190592", "title": "The theatre metaphor for spatial computing in architectural design", "date": "2023-06-20", "abstract": "New digital technologies require new conceptual approaches to help potential users understand existing\nand envision new use cases and applications. Moving from desktop computing to spatial computing\n(virtual, augmented, mixed and extended reality environments) also requires the introduction of new\nmetaphors. New interaction and visualisation possibilities afforded by current devices are causing virtual\nand real worlds to merge into an inseparable unity of reality and imagination.\nThere are many similarities between theatre and AEC workflows. However, the theatre process is scaled\ndown in terms of space, time, and budget, and is therefore better suited to explore innovative and\nexperimental methods. In order to conceptualise the role of a novel spatial computing drawing tool\n(MR.Sketch) in existing AEC processes, we propose the theatre metaphor, which embeds the\nconceptual foundations of the tool in a collaborative design workflow based on the cooperation of\ndifferent domain experts.\nThe metaphor proposal includes the analysis of the following theatre concepts: integrative collaboration\nwith specialists, stage infrastructure, workshops for different tools and manufacturing methods, stocks\nand the immersive experience of space and time in different scales. We illustrate the capabilities of the\ntheatre metaphor to cover the entire creation and performance process of architectural design in an\nexperimental mixed reality sketching application. The implementation of an early prototype of the\nsketching application was used to evaluate the applicability of the theatre metaphor to spatial computing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 337, "image_height": 220, "name": "kovacs-2023-ttm-image.jpg", "type": "image/jpeg", "size": 7460, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "authors": [ { "id": 1487, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Bálint Istvan", "lastname": "Kovács", "searchname": "Bálint Istvan Kovács", "is_teacher": false, "name": "Bálint Istvan Kovács", "publications": [ "Kovacs_2017", "Kovacs_2020", "kovacs-2023-ttm", "reisinger-2023-iad", "Vasylevska2020VRB" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "kovacs-2023-ttm", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1487", "__class": "Author" }, { "id": 5315, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Ingrid", "lastname": "Erb", "searchname": "Ingrid Erb", "is_teacher": false, "name": "Ingrid Erb", "publications": [ "kovacs-2023-ttm" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5315", "__class": "Author" }, { "id": 5316, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Kiumars", "lastname": "Sharifmoghaddam", "searchname": "Kiumars Sharifmoghaddam", "is_teacher": false, "name": "Kiumars Sharifmoghaddam", "publications": [ "kovacs-2023-ttm" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5316", "__class": "Author" }, { "id": 1525, "drupal_id": 1311, "orcid_id": "0000-0002-1110-0707", "website": "https://www.cg.tuwien.ac.at/staff/LukasLipp", "firstname": "Lukas", "lastname": "Lipp", "searchname": "Lukas Lipp", "is_teacher": false, "name": "Lukas Lipp", "publications": [ "freude-2023-prh", "kovacs-2023-ttm", "lipp-2017-mgpu", "lipp-2017-vulkan", "lipp-2019-rtxq3", "LIPP-2020-PHD", "unterguggenberger-2023-ait" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Koeppl-2023-DLO", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "Preymann-2022-pytamashii", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "Schwengerer_Mathias-2022-BGL", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": 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\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
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Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU, which allows a high level of controllability and, thereby, deep insights into the inner workings of modern GPUs. This property makes the Vulkan API especially well suitable for teaching graphics programming in university education, where fundamental knowledge shall be conveyed. Hence, it stands to reason that educators who have their students’ best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in both introductory and advanced graphics courses side-by-side with conventional OpenGL. A collection of surveys enables us to draw conclusions about perceived workload, difficulty, and students’ acceptance of either approach. 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"short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/", "__class": "Publication" }, { "id": "freude-2023-sem", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175763", "title": "Sampling-Distribution-Based Evaluation for Monte Carlo Rendering", "date": "2023", "abstract": "In this paper, we investigate the application of per-pixel difference metrics for evaluating Monte Carlo (MC) rendering techniques. In particular, we propose to take the sampling distribution of the mean (SDM) into account for this purpose. We establish the theoretical background and analyze other per-pixel difference metrics, such as the absolute deviation (AD) and the mean squared error (MSE) in relation to the SDM. Based on insights from this analysis, we propose a new, alternative, and particularly easy-to-use approach, which builds on the SDM and facilitates meaningful comparisons of MC rendering techniques on a per-pixel basis. In order to demonstrate the usefulness of our approach, we compare it to commonly used metrics based on a variety of images computed with different rendering techniques. Our evaluation reveals limitations of commonly used metrics, in particular regarding the detection of differences between renderings that might be difficult to detect otherwise—this circ umstance is particularly apparent in comparison to the MSE calculated for each pixel. Our results indicate the potential of SDM-based approaches to reveal differences between MC renderers that might be caused by conceptual or implementation-related issues. 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}, { "publ_id": "Tucek_Tom-2016-aai", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "wiesinger_2020_odpr", "field_id": "co_supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1128", "__class": "Author" } ], "location": "Lisbon, Portugal", "open_access": "yes", "pages": "12", "pages_from": "119", "pages_to": "130", "publisher": "Scitepress", "volume": "1", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "computer graphics", "Rendering", "Ray Tracing", "Evaluation", "Validation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-sem-paper.pdf", "type": "application/pdf", "size": 8656300, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "OpenData", "workgroup_id": "rend", "drupal_id": 4183, "name": "A Test Suite for Photorealistic Rendering and Filtering", "name_de": null, "website": null, "status": "active", "short_abstract": "This project will research methods to test and compare global-illumination algorithms as well as filtering algorithms, and also develop test data sets for this purpose.", "abstract": "Rendering photorealistic images has been a long-standing problem in computer graphics. Photorealistic image synthesis is still a vibrant and active research field with many open problems. Most offline methods use path-sampling techniques to evaluate the rendering equation to account for sophisticated light-transport effects. However, this procedure takes up to hours, where the inaccuracy of the initial estimation shows up as noise in the resulting images. In order to alleviate this, sophisticated light-transport algorithms and a number of noise-filtering techniques have been developed. Despite the fact that a large body of research exists in both directions, there are no standardized datasets that enable us to adequately assess their strengths and weaknesses. It would be of utmost importance to be able to compare existing light-transport and noise-filtering algorithms in a scientifically sound way.\nIn this project, we will therefore create such a dataset, and provide the following contributions:\n(1) a set of scene descriptions that can be used to test individual features of these systems, e.g., dealing with a variety of material models, high-resolution geometry, textured inputs, and a variety of lighting effects.\n(2) a large number of rendered images of these scenes with different noisiness, auxiliary buffers to maximize compatibility with the state-of-the-art noise filtering algorithms, and fully converged reference images for easy comparisons against the denoised outputs, and\n(3) a method to ensure parameter coverage, so that the dataset does not become prohibitively large, but still covers salient rendering configurations, that reveal the most interesting cases.\nIn summary, we propose to create a fertile ground for assessing the quality of different photorealistic rendering techniques. We believe that this would lead to significantly higher quality scientific works in the field.", "start_date": "2017-05-01", "end_date": "2020-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:OpenData", "type": "image/png", "size": 3775514, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/OpenData/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "ORD 61", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "brugger-2020-tdp", "brugger-2020-tsdpbr", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "freude_2020_rs", "freude-2023-sem", "wiesinger_2020_odpr" ], "url": "https://www.cg.tuwien.ac.at/research/projects/OpenData", "__class": "Project" }, { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/", "__class": "Publication" }, { "id": "rasoulzadeh-2022-strokes2surface", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153311", "title": "Strokes2Surface: Recovering Curve Networks from 4D Architectural Design Sketches for Shape Inference", "date": "2022-10-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "authors": [ { "id": 5233, "drupal_id": null, "orcid_id": "0000-0002-0019-0137", "website": null, "firstname": "Shervin", "lastname": "Rasoulzadeh", "searchname": "Shervin Rasoulzadeh", "is_teacher": false, "name": "Shervin Rasoulzadeh", "publications": [ "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "reisinger-2023-iad" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "rasoulzadeh-2022-strokes2surface", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5233", "__class": "Author" }, { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", 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], "research_areas": [], "keywords": [ "Architectural Geometry", "Concept Design", "Digital Modeling", "Machine Learning", "Curve Networks", "Shape Inference" ], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rasoulzadeh-2022-strokes2surface/", "__class": "Publication" }, { "id": "landauer-2022-kido", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Kido: a hardware-accelerated lighting planning software", "date": "2022-09", "abstract": "The human visual system allows us to perceive our environment by processing incoming light. This visual system enables us to make decisions based on the information or objects we see. Many tasks in our daily life require us to see our surroundings. Depending on the task, a well-illuminated environment will be beneficial to accomplish the given task. To properly design lighting environments, computer applications are used to simulate the distribution of light and test if the results meet the predefined requirements. The current workflow of state-of-the-art applications is sequential, where the user first plans a scene and then triggers the lighting simulation. The problem with this approach is that the user will have no insight into the resulting lighting conditions until the simulation has finished. Planning a lighting environment is an iterative process, where the user iteratively changes the scene till the plan meets the requirements. Reducing the time per iteration will also reduce the overall planning time and increase the planner’s productivity. This thesis presents a novel workflow by providing the user with intermediate results of the computed lighting conditions in the planning phase. 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mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
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In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. 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\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
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\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
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