[ { "id": "freude-2025-iso", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216172", "title": "Inverse Simulation of Radiative Thermal Transport", "date": "2025-04-17", "abstract": "The early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems. In this paper, we present an inverse simulation of radiative heat transport and a differentiable photon-tracing approach. Our method utilizes GPU-accelerated ray tracing to speed up both the forward and adjoint simulation. Moreover, we incorporate matrix compression to further increase the efficiency of our thermal solver and support larger scenes. In addition to our differentiable photon-tracing approach, we introduce a novel approximate edge sampling scheme that re-uses primary samples instead of relying on explicit edge samples or auxiliary rays to resolve visibility discontinuities. Our inverse simulation system enables designers to not only predict the temperature distribution, but also automatically optimize the design to improve thermal comfort and avoid problematic configurations. We showcase our approach using several examples in which we optimize the placement of buildings or their facade geometry. Our approach can be used to optimize arbitrary geometric parameterizations and supports steady-state, as well as transient simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, "sync_repositum_override": "date_from,date_to,event,lecturer,number,open_access,volume", "repositum_presentation_id": null, "authors": [ { "id": 1128, "drupal_id": 593, "orcid_id": "0000-0002-4224-4105", "website": 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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. 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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. 

\n

Wider 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.

\n

Innovation: 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.

\n

Approach: 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.

\n

Added 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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Photorealistic rendering, which is essential for many applications, involves evaluating complicated integrals. These integrals are predominantly approximated with a Monte Carlo method called path tracing. Unfortunately, this method generally requires many samples and therefore long computation times for noiseless images. Recently, so-called path-guiding techniques have been introduced, which gather knowledge about the integrands to facilitate sampling. In this project, we seek to identify and exploit untapped potential in path guiding to provide significant improvements in this active line of research. The two principal problems in path guiding are i) representing gathered knowledge and ii) sampling using that representation. We strive toward the ideal of optimal path guiding (considering practical constraints), which leads us to our main research questions: Q1. How can we represent path-guiding knowledge optimally? Q2. How can we sample optimally using that representation? We pursue two novel key ideas for possible answers: For Q1, we cast the problem of representing knowledge as a mathematical optimization problem, enabling us to exploit the knowledge and methods from the field of optimization. For Q2, we introduce “scalable product importance sampling”: adapting sampling accuracy as required to economize on resources. We see great potential for synergies between the two ideas and for them to open up new lines of investigation, thereby inspiring many follow-up works.

", "start_date": "2023-02-01", "end_date": "2027-01-31", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:d9259", "type": "image/png", "size": 3185530, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d9259/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ "Rendering" ], "publications": [ "eickmeyer-2027-tcd", "freude-2023-prh", "freude-2025-iso", "hasbay-2026-tfo", "sakai-2024-asa", "sakai-2025-stater" ], "url": "https://www.cg.tuwien.ac.at/research/projects/PathGuideWWTF", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/", "__class": "Publication" }, { "id": "ecormier-nocca-2025-sls", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/213965", "title": "Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization", "date": "2025", "abstract": "Lighting is a key component in how scenes are perceived. However, many interior lighting situations are currently either handcrafted by expert designers, or simply consist of basic regular arrangements of luminaires, such as to reach uniform lighting at a predefined brightness. Our method aims to bring more interesting lighting configurations to various scenes in a semi-automatic manner designed for fast prototyping by non-expert users. Starting from a single photograph of a lighting configuration, we allow users to quickly copy and adapt a lighting style to any 3D scene. Combining image analysis, texture synthesis, and light parameter optimization, we produce a lighting design for the target 3D scene matching the input image. We validate via a user study that our results successfully transfer the desired lighting style more accurately and realistically than state-of-the-art generic style transfer methods. 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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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"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. 

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Wider 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.

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Innovation: 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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Approach: 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.

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Added 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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Transactions on Graphics", "number": "3", "open_access": "yes", "pages": "16", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "43", "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", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "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", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "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": [ "differentiable rendering", "global illumination", "Lighting design", "optimization", "ray tracing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1469, "image_height": 1228, "name": "lipp-2024-val-preview.jpg", "type": "image/jpeg", "size": 264705, "path": "Publication:lipp-2024-val", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg", "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. 

\n

Wider 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.

\n

Innovation: 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.

\n

Approach: 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.

\n

Added 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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Once specified, parametric 3D objects allow for visualization at arbitrary levels of detail, at no additional memory cost, limited only by the amount of evaluated samples. However, mapping the sample evaluation to the hardware rendering pipelines of modern graphics processing units (GPUs) is not trivial. This has given rise to several specialized solutions, each targeting interactive rendering of a constrained set of parametric functions. In this paper, we propose a general method for efficient rendering of parametrically defined 3D objects. Our solution is carefully designed around modern hardware architecture. Our method adaptively analyzes, allocates and evaluates parametric function samples to produce high-quality renderings. Geometric precision can be modulated from few pixels down to sub-pixel level, enabling real-time frame rates of several 100 frames per second (FPS) for various parametric functions. We propose a dedicated level-of-detail (LOD) stage, which outputs patches of similar geometric detail to a subsequent rendering stage that uses either a hardware tessellation-based approach or performs point-based softare rasterization. Our method requires neither preprocessing nor caching, and the proposed LOD mechanism is fast enough to run each frame. Hence, our approach also lends itself to animated parametric objects. We demonstrate the benefits of our method over a state-of-the-art spherical harmonics (SH) glyph rendering method, while showing its flexibility on a range of other demanding shapes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser image, different parametric objects", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1440, "image_height": 1364, "name": "unterguggenberger-2024-fropo-image.png", "type": "image/png", "size": 2235242, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=848", "__class": "Author" } ], "location": "Odense", "open_access": "yes", "pages": "12", "publisher": "The Eurographics Association", "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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Point clouds are a quintessential 3D geometry representation format, and often the first model obtained from reconstructive efforts, such as LIDAR scans. IVILPC aims for fast, authentic, interactive, and high-quality processing of such point-based data sets. Our project explores high-performance software rendering routines for various point-based primitives, such as point sprites, gaussian splats, surfels, and particle systems. Beyond conventional use cases, point cloud rendering also forms a key component of point-based machine learning methods and novel-view synthesis, where performance is paramount. We will exploit the flexibility and processing power of cutting-edge GPU architecture features to formulate novel, high-performance rendering approaches. The envisioned solutions will be applicable to unstructured point clouds for instant rendering of billions of points. Our research targets minimally-invasive compression, culling methods, and level-of-detail techniques for point-based rendering to deliver high performance and quality on-demand. We explore GPU-accelerated editing of point clouds, as well as common display issues on next-generation display devices. IVILPC lays the foundation for interaction with large point clouds in conventional and immersive environments. Its goal is an efficient data knowledge transfer from sensor to user, with a wide range of use cases to image-based rendering, virtual reality (VR) technology, architecture, the geospatial industry, and cultural heritage.

\r\n", "abstract": "

Point clouds are a quintessential 3D geometry representation format, and often the first model obtained from reconstructive efforts, such as LIDAR scans. IVILPC aims for fast, authentic, interactive, and high-quality processing of such point-based data sets. Our project explores high-performance software rendering routines for various point-based primitives, such as point sprites, gaussian splats, surfels, and particle systems. Beyond conventional use cases, point cloud rendering also forms a key component of point-based machine learning methods and novel-view synthesis, where performance is paramount. We will exploit the flexibility and processing power of cutting-edge GPU architecture features to formulate novel, high-performance rendering approaches. The envisioned solutions will be applicable to unstructured point clouds for instant rendering of billions of points. Our research targets minimally-invasive compression, culling methods, and level-of-detail techniques for point-based rendering to deliver high performance and quality on-demand. We explore GPU-accelerated editing of point clouds, as well as common display issues on next-generation display devices. IVILPC lays the foundation for interaction with large point clouds in conventional and immersive environments. Its goal is an efficient data knowledge transfer from sensor to user, with a wide range of use cases to image-based rendering, virtual reality (VR) technology, architecture, the geospatial industry, and cultural heritage.

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"kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "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-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "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" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/", "__class": "Publication" }, { "id": "freude-2023-prh", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/190854", "title": "Precomputed radiative heat transport for efficient thermal simulation", "date": "2023-11", "abstract": "Architectural design and urban planning are complex design tasks. Predicting the thermal impact of design choices at interactive rates enhances the ability of designers to improve energy efficiency and avoid problematic heat islands while maintaining design quality. We show how to use and adapt methods from computer graphics to efficiently simulate heat transfer via thermal radiation, thereby improving user guidance in the early design phase of large-scale construction projects and helping to increase energy efficiency and outdoor comfort. Our method combines a hardware-accelerated photon tracing approach with a carefully selected finite element discretization, inspired by precomputed radiance transfer. This combination allows us to precompute a radiative transport operator, which we then use to rapidly solve either steady-state or transient heat transport throughout the entire scene. 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. We show how our approach can be used for interactive design workflows such as city planning via fast feedback in the early design phase.", "authors_et_al": false, "substitute": null, "main_image": { "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" }, "sync_repositum_override": "date,date_from,date_to,event,lecturer,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ { "id": 1128, "drupal_id": 593, "orcid_id": "0000-0002-4224-4105", "website": 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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", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "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", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"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", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "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", "d9555", "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, "drupal_path": "/research/projects/ACD", "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "short_title": "ACD", "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. 

\n

Wider 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.

\n

Innovation: 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.

\n

Approach: 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.

\n

Added 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": [ "Derflinger-2026-RTTW2", "ecormier-nocca-2025-sls", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "Fuericht-2026-FPD", "Grisenti-2026-HSHPG", "huber-2025-esl", "koenigsberger-2024-msu", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "lipp-2024-val", "Meier_2024_WIALT", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "ulschmid-2024-reo", "ulschmid-2025-apc", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang-thesis" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ACD", "__class": "Project" }, { "id": "d9259", "workgroup_id": "rend", "drupal_id": 9259, "drupal_path": "/research/projects/PathGuideWWTF", "name": "Toward Optimal Path Guiding for Photorealistic Rendering", "name_de": "Toward Optimal Path Guiding for Photorealistic Rendering", "short_title": "PathGuideWWTF", "website": "https://www.cg.tuwien.ac.at/research/projects/PathGuideWWTF", "status": "active", "short_abstract": null, "abstract": "

Photorealistic rendering, which is essential for many applications, involves evaluating complicated integrals. These integrals are predominantly approximated with a Monte Carlo method called path tracing. Unfortunately, this method generally requires many samples and therefore long computation times for noiseless images. Recently, so-called path-guiding techniques have been introduced, which gather knowledge about the integrands to facilitate sampling. In this project, we seek to identify and exploit untapped potential in path guiding to provide significant improvements in this active line of research. The two principal problems in path guiding are i) representing gathered knowledge and ii) sampling using that representation. We strive toward the ideal of optimal path guiding (considering practical constraints), which leads us to our main research questions: Q1. How can we represent path-guiding knowledge optimally? Q2. How can we sample optimally using that representation? We pursue two novel key ideas for possible answers: For Q1, we cast the problem of representing knowledge as a mathematical optimization problem, enabling us to exploit the knowledge and methods from the field of optimization. For Q2, we introduce “scalable product importance sampling”: adapting sampling accuracy as required to economize on resources. We see great potential for synergies between the two ideas and for them to open up new lines of investigation, thereby inspiring many follow-up works.

", "start_date": "2023-02-01", "end_date": "2027-01-31", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:d9259", "type": "image/png", "size": 3185530, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d9259/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ "Rendering" ], "publications": [ "eickmeyer-2027-tcd", "freude-2023-prh", "freude-2025-iso", "hasbay-2026-tfo", "sakai-2024-asa", "sakai-2025-stater" ], "url": "https://www.cg.tuwien.ac.at/research/projects/PathGuideWWTF", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/", "__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", "repositum_presentation_id": null, "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": [ "ecormier-nocca-2025-sls", "freude-2023-prh", "freude-2025-iso", "kovacs-2023-ttm", "lipp-2017-mgpu", "lipp-2017-vulkan", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "unterguggenberger-2023-ait", "unterguggenberger-2024-fropo" ], "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": "unterguggenberger-2023-ait", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1525", "__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", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "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", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "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", "koenigsberger-2024-msu", "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", 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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. 

\n

Wider 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.

\n

Innovation: 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.

\n

Approach: 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.

\n

Added 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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"Real-Time Rendering", "Rendering Engine" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad", "description": "A framework by TU Wien targeted at Vulkan beginners.", "main_file": 1 }, { "href": "https://www.vulkan.org/events/vulkanised-2023", "caption": "Vulkanised 2023", "description": "Event page on vulkan.org", "main_file": 0 } ], "files": [ { "description": "Vulkanised 2023 Logo", "filetitle": "vulkanised-logo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 768, "image_height": 323, "name": "unterguggenberger-2023-ait-vulkanised-logo.jpg", "type": "image/jpeg", "size": 37983, "path": "Publication:unterguggenberger-2023-ait", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/", "__class": "Publication" }, { "id": "lipp-2019-rtxq3", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16178", "title": "Real-Time Ray Tracing in Quake III", "date": "2020-10-15", "abstract": "This work discusses the extension of the popular Quake III game engine using real-time raytracing.\nIt investigates how ray tracing can be implemented using the most recent graphics card generation by NVIDIA, which offers dedicated hardware support and acceleration via an new API.\nIn addition, strategies will be discussed about how offline ray-tracing algorithms can be transformed to an online real-time context.\n\nIn order to implement ray tracing, Quake III needs to be extended with a Vulkan backend.\nNext, distributed ray tracing is implemented and is used to render the whole game world except for the user interface (UI) elements. The UI will be handled by the rasterizer.\n\nThe performance and efficiency of ray tracing in a game engine using the RTX hardware features is analyzed and discussed.\nThe focus lies on how quality and performance relate to each other, and how far ray tracing can be pushed with still acceptable frame rate of around 30/60 frames per second.\nFurthermore, implementation strategies that improve the quality, performance or both will be discussed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 834, "image_height": 594, "name": "lipp-2019-rtxq3-image.png", "type": "image/png", "size": 963441, "path": "Publication:lipp-2019-rtxq3", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" }, { "id": 1128, "drupal_id": 593, "orcid_id": "0000-0002-4224-4105", "website": "https://www.cg.tuwien.ac.at/staff/ChristianFreude", "firstname": "Christian", "lastname": "Freude", "searchname": "Christian Freude", "is_teacher": false, "name": "Christian Freude", "publications": [ "brugger-2020-tdp", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2015-xmc", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Jimenez_SSS_2015", "sakai-2024-asa", "sakai-2025-stater", "xmas-2025" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "brugger-2020-tsdpbr", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fischer-2018-sssvr", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "freude-2023-prh", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "freude-2023-sem", "field_id": 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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", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "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", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", 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"prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "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-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "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" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/", "__class": "Publication" }, { "id": "lipp-2017-mgpu", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Fiber Orientation in Glass Fiber Reinforced Polymers", "date": "2018-01", "abstract": "Fiber-reinforced composites are materials used for their extraordinary characteristics. The importance of these materials is constantly increasing, therefore, a wide range of variations exists of this material. Types range from Carbon Fiber Reinforced Polymer to Fiber-reinforced Foamed Urethane and more. Fiber-reinforced composites are lightweight,\nstrong, and durable, among others and are therefore used for printed circuit boards,\nrailway sleepers, airplanes or Formula 1 vehicles. To assure that these materials provide the required quality, they need to be tested and analyzed. To analyze these materials or to be more exact, the fibers within, special tools are needed. The first step is to scan the material with a X-ray Computed Tomography (CT) and save it as a volumetric CT-image on a computer. Now this data can be used to analyze the structure and find flaws in the dataset. In this thesis, a program for a later integration in a software called open_iA to extend its range of features, is developed. Purpose of the developed program is to analyze the orientation of fibers in a dataset. The result will be visualized with two different graphs. One shows the orientation of the fibers, while the other shows how\nmany fibers are visible to the analyst. With the option of different configurations, it is possible to further specify these visualizations and get a better understanding of the underlying data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 475, "image_height": 225, "name": "lipp-2017-mgpu-image.JPG", "type": "image/jpeg", "size": 32501, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "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": [ "ecormier-nocca-2025-sls", "freude-2023-prh", "freude-2025-iso", "kovacs-2023-ttm", "lipp-2017-mgpu", "lipp-2017-vulkan", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "unterguggenberger-2023-ait", "unterguggenberger-2024-fropo" ], "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": "unterguggenberger-2023-ait", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1525", "__class": "Author" } ], "date_end": "2018-01-25", "date_start": "2017", "matrikelnr": "1425235", "supervisor": [ { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", "Loeffelmann-1995-RTE", "loeffelmann-1996-CVA", "Loeffelmann-1996-DS3", "loeffelmann-1996-SVM", "Loeffelmann-1997-FV2", "Loeffelmann-1997-HSV", "Loeffelmann-1997-VPM", "Loeffelmann-1998-Enh", "Loeffelmann-1998-EVC", "Loeffelmann-1998-SMURF", "Loeffelmann-1998-VDS", "Loeffelmann-1998-Vis", "Loeffelmann-1998-Visu", "Loeffelmann-1999-SMU", "malik-2007-FP", "malik-2009-CVFA", "malik-2010-cvp", "manylands_award", "Matkovic-2002-Pro", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Meinhart-1998-Tun", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Milik-1997-GMMO", "Milik-1998-Geo", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mindek-2017-marion", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Morar_2012_ISB", "Mroz-1998-Bri", "Mroz-1998-Sel", "Mroz-1998-SelX", "Mroz-1999-Adv", "Mroz-1999-IHQ", "Mroz-1999-MIP", "Mroz-1999-Real", "Mroz-1999-ReaX", "Mroz-2000-Int", "Mroz-2000-Mas", "Mroz-2000-MasX", "Mroz-2000-Rea", "Muigg_2011_VC", "muigg-2011-gpg", "musleh-2023-ugi", "Neumann-2000-Gra", "Neumann-2002-Fea", "oda-2025-artevoviewer", "ortner-2016-tunnel", "ortner-2016-visaware", "Ortner2020", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-kav", "patel-2010-SVV", "patel-2011-PEA", "Peter_2012_AIV", "piringer-2009-hds", "PMI_AR_2012", "preim-2009-sve", "purgathofer-1988-using", "Purgathofer-1994-CPI", "Purgathofer-1999-Gra", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_slicedice", "raidou_visgap2020", "raidou2018visualflatter", "raidou2019_prsps", "rauer-zechmeister-2024-h3p", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Rautek06Vis", "Red_Andreas_2015_FFT", "reh-2013", "reh-2015-areh", "reina-2020-mtv", "Reiter_2009_IXIA", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "roos-2007-mcp", "Ropinski-2012-UBT", "rsabin-2013", "Sarkis_2021", "Sbardellati-2019-vcbm", "Schernthaner-2017-MCP", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-avp-2009", "sorger_2017_metamorphers", "sorger-2015-litevis", "sorger-2015-taxintec", "Soros_AVN_2011", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "Straka-2003-3DW", "Straka-2003-Apr", "Straka-2003-Bon", "Straka-2003-CTA", "Straka-2004-BSA", "Straka-2004-TVG", "StrakaVis2004", "suntinger-2008-etet", "suntinger-2008-tet", "szabo-2023-fig", "tanaka-2024-vor", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-scmr", "Theussl-1999-MDH", "Theussl-2000-MWI", "Theussl-2001-ORS", "Theussl-2001-RIV", "Theussl-2002-RSH", "Theussl-2003-Rec", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-13", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "tretyak-2025-tacmedvr", "Troidl_2022", "Tsoi-2000-Ada", "Vad_Viktor_2015_RVV", "vad_viktor-2017-WVE", "vaico", "Vilanova-1999-Vir", "Vilanova-1999-VirX", "Vilanova-2000-CAT", "Vilanova-2000-Cyl", "Vilanova-2000-VCF", "Vilanova-2001-Non", "Vilanova-2001-Per", "Vilanova-2001-VCU", "Vilanova-2001-Vir", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2011", "Wagner-2002-End", "walch-2025-bemtrace", "Waldin_Nicholas_2016_Chameleon", "waldin-2019-ccm", "waldner-2017-vph", "waldner-2020-tbg", "Wallisch-2002-INF", "Waser-2010-WL", "Wegenkitt-2000-MIV", "Wegenkittl-1996-AFR", "wegenkittl-1996-GTW", "Wegenkittl-1996-SDI", "Wegenkittl-2000-Mas", "Wegenkittl-97-FOL", "Wegenkittl-97-VBH", "weissenboeck_2013", "Weissenboeck_2019", "weissenboeck-2014", "wu-2021", "wu-2021-vi", "ymca", "Zotti-2005-vis" ], "publications_first": [], "project_leader": [ "AngioVis", "AutARG", "avr", "d10027", "d10162", "d10164", "d10214", "d4328", "d4335", "d4534", "d9275", "d9671", "diagvis", "KASI", "ManyViews", "NeuroViewer", "ProKeyAnim", "PVG", "Semantic Steering", "Sim-CT", "Smart-CT", "ViMaL", "VISAR" ], "publication_field": [ { "publ_id": "2015-image-coll", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "2017-kouril-illcell", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "alsallakh-2009-iva", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "altendorfer-2008-vts", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "amirkhanov-2012-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "amirkhanov-2021-diss", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ammer-2008-lst", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "AndreUrsits_2013_APP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Artner-2005-Thesis", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "audioflow", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "balabanian-2009-mav", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bartroli-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bauer_David_2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bauer_Johannes_2014_IWB", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bauer-2015-cbfd", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "bayer-2015-gapaot", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bbeer-2013", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Beer_2011_DVE", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Beham_Michael_PSC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bernold_2019", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bernold-2019-epr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "beyer-2009-gpu", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandstaetter_01", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandstaetter-2007-vosd", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandstaetter2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Braunsperger-2025_bsc", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "bruckner-2008-IIV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bydlinski-2015-gapaot", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Cai_2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Caic2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": 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Our goal is to support biological researches in molecular biology and phenotyping communities by developing visualizations that complement statistical methodology and wet lab with visual data analysis. Our tools allow the domain experts to see the key information they are looking for that relates to the studied structure, such as tunnels in molecules on the nanoscale or root shape distributions on the macroscopic magnification levels.\nEqually important is the role of visualization in explaining certain phenomenon to a larger audience. Biologists create large structural models that reflect the state-of-the-art knowledge about a certain living organism. This form of captured knowledge can be effectively communicated with interactive visualization, especially the aspect of understanding interplay of multiple spatial and temporal scales. With our visualization technology audience can therefore seamlessly zoom from zoom level when seeing entire bacteria down to its atomic detail.\n", "website": "https://www.cg.tuwien.ac.at/research/area/BioVis", "teaser": { "name": "teaser.png", "path": "research_area:BioVis", "type": "image/png", "size": 16330957, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/BioVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "amirkhanov-2019-manylands", "byska-2019-mdfc", "cellVIEW_2015", "cmolik-2020-tvcg", "Dietrich_1", "dietrich-2016-viseq2", "Ehlers_PhD", "ehlers-2025-ait", "eschner-2023-ims", "eschner-blur-2022", "Escribano_2017", "Furmanova_2018", "Gehrer-2017", "Gehrer-2017-molmach", "glinzner-2016-tex", "Halladjian_2020", "kapferer-2017-godot", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koch-2018-sso", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kozlikova-Visualization-2016b", "Krone2016VABC", "Kugler_2019", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lipp-2017-mgpu", "lipp-2017-vulkan", "Manczarski-2016", "manylands_award", "Miao_2019", "miao_inria_2017", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-xmas-card-2016", "Mitterhofer_2017", "nguyen_2020-covid", "Nowak_2020", "raidou_2019_springer", "raidou_shonan167", "raidou2018visualflatter", "rasch-2016-imgses", "Reisacher2016", "rinortner_susanne-2019-vpicc", "Sarkis_2021", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2013-neuromap", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "stappen_2017_animatedcomic", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "trautner-2018-imd", "unger-2019_vcp", "vad_2015_phd", "vad_viktor-2017-WVE", "vad-2016-bre", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "waldin-2019-ccm", "waldner-2014-af", "Weissenboeck_2019", "wu-2017-dagstuhl", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg" ], "projects": [ "BioNetIllustration", "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=BioVis", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lipp-2017-mgpu-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3396459, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 475, "image_height": 225, "name": "lipp-2017-mgpu-image.JPG", "type": "image/jpeg", "size": 32501, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "illvisation", "workgroup_id": "vis", "drupal_id": 4171, "drupal_path": "/research/projects/illvisation", "name": "Visual Computing: Illustrative Visualization", "name_de": null, "short_title": "illvisation", "website": null, "status": "active", "short_abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

\r\n", "abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

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