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It's on.", "Christmas Tree" ], "weblinks": [], "files": [ { "description": "Christmas Card as PDF", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2023-Card.pdf", "type": "application/pdf", "size": 1240736, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "xmas", "workgroup_id": "abteilung", "drupal_id": 4153, "name": "X-Mas Cards", "name_de": null, "website": null, "status": "active", "short_abstract": "Every year a christmas card showing aspects of our research projects is produced and sent out.", "abstract": "
Every year a christmas card showing aspects of our research projects is produced and sent out.
\r\n", "start_date": "1993-12-01", "end_date": null, "leader_id": 190, "logo": { "name": "logo.png", "path": "project:xmas", "type": "image/png", "size": 315425, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/xmas/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [], "publications": [ "dvdkouril_xmas_card_2018", "freude-2015-xmc", "Habel_07_xms", "ilcik-2021-xmas", "jeschke-2011-xMasCard", "kroesl_x_card_2017", "mindek-xmas-card-2014", "mindek-xmas-card-2016", "ohrhallinger_stefan-2019-xms", "Rau08", "SCHEIBLAUER-2009-xmas", "x-mas-2013", "xmas-1993", "xmas-1994", "xmas-1995", "xmas-1996", "xmas-1997", "xmas-1998", "xmas-1999", "xmas-2000", "xmas-2001", "xmas-2002", "xmas-2003", "xmas-2004", "xmas-2005", "xmas-2006", "xmas-2010", "xmas-2012", "xmas-2022", "xmas-2023", "xmastree2002", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/xmas", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/", "__class": "Publication" }, { "id": "freude-2023-sem", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175763", "title": "Sampling-Distribution-Based Evaluation for Monte Carlo Rendering", "date": "2023", "abstract": "In this paper, we investigate the application of per-pixel difference metrics for evaluating Monte Carlo (MC) rendering techniques. In particular, we propose to take the sampling distribution of the mean (SDM) into account for this purpose. We establish the theoretical background and analyze other per-pixel difference metrics, such as the absolute deviation (AD) and the mean squared error (MSE) in relation to the SDM. Based on insights from this analysis, we propose a new, alternative, and particularly easy-to-use approach, which builds on the SDM and facilitates meaningful comparisons of MC rendering techniques on a per-pixel basis. In order to demonstrate the usefulness of our approach, we compare it to commonly used metrics based on a variety of images computed with different rendering techniques. Our evaluation reveals limitations of commonly used metrics, in particular regarding the detection of differences between renderings that might be difficult to detect otherwise—this circ umstance is particularly apparent in comparison to the MSE calculated for each pixel. Our results indicate the potential of SDM-based approaches to reveal differences between MC renderers that might be caused by conceptual or implementation-related issues. Thus, we understand our approach as a way to facilitate the development and evaluation of rendering techniques.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, "sync_repositum_override": null, "authors": [ { "id": 1128, "drupal_id": 593, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ChristianFreude", "firstname": "Christian", "lastname": "Freude", "searchname": "Christian Freude", "is_teacher": false, "name": 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Applications (GRAPP)", "isbn": "978-989-758-634-7", "lecturer": [ { "id": 1128, "drupal_id": 593, "orcid_id": null, "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", "Jimenez_SSS_2015" ], "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": "lecturer", "ordernum": 0 }, { "publ_id": "Jimenez_SSS_2015", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "lipp-2019-rtxq3", "field_id": "supervisor", "ordernum": 1 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "computer graphics", "Rendering", "Ray Tracing", "Evaluation", "Validation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-sem-paper.pdf", "type": "application/pdf", "size": 8656300, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "OpenData", "workgroup_id": "rend", "drupal_id": 4183, "name": "A Test Suite for Photorealistic Rendering and Filtering", "name_de": null, "website": null, "status": "active", "short_abstract": "This project will research methods to test and compare global-illumination algorithms as well as filtering algorithms, and also develop test data sets for this purpose.", "abstract": "Rendering photorealistic images has been a long-standing problem in computer graphics. Photorealistic image synthesis is still a vibrant and active research field with many open problems. Most offline methods use path-sampling techniques to evaluate the rendering equation to account for sophisticated light-transport effects. However, this procedure takes up to hours, where the inaccuracy of the initial estimation shows up as noise in the resulting images. In order to alleviate this, sophisticated light-transport algorithms and a number of noise-filtering techniques have been developed. Despite the fact that a large body of research exists in both directions, there are no standardized datasets that enable us to adequately assess their strengths and weaknesses. It would be of utmost importance to be able to compare existing light-transport and noise-filtering algorithms in a scientifically sound way.\nIn this project, we will therefore create such a dataset, and provide the following contributions:\n(1) a set of scene descriptions that can be used to test individual features of these systems, e.g., dealing with a variety of material models, high-resolution geometry, textured inputs, and a variety of lighting effects.\n(2) a large number of rendered images of these scenes with different noisiness, auxiliary buffers to maximize compatibility with the state-of-the-art noise filtering algorithms, and fully converged reference images for easy comparisons against the denoised outputs, and\n(3) a method to ensure parameter coverage, so that the dataset does not become prohibitively large, but still covers salient rendering configurations, that reveal the most interesting cases.\nIn summary, we propose to create a fertile ground for assessing the quality of different photorealistic rendering techniques. We believe that this would lead to significantly higher quality scientific works in the field.", "start_date": "2017-05-01", "end_date": "2020-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:OpenData", "type": "image/png", "size": 3775514, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/OpenData/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "ORD 61", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "brugger-2020-tdp", "brugger-2020-tsdpbr", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "freude_2020_rs", "freude-2023-sem", "wiesinger_2020_odpr" ], "url": "https://www.cg.tuwien.ac.at/research/projects/OpenData", "__class": "Project" }, { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": 193, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [ "freude-2023-prh", "freude-2023-sem", "Koeppl-2023-DLO", "kovacs-2023-ttm", "landauer-2022-kido", "LIPP-2020-PHD", "Mortezapoor2021ssc", "Preymann-2022-pytamashii", "rasoulzadeh-2022-strokes2surface", "reisinger-2023-iad", "Schwengerer_Mathias-2022-BGL", "steinkellner-2022-dll", "unterguggenberger-2023-vaw", "wimmer-2022-acd", "wimmer-2023-acd", "Zezulka_Matthias-2023-MatLabOptInterface" ], "url": "https://www.cg.tuwien.ac.at/research/projects/d4314", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/", "__class": "Publication" }, { "id": "freude_2020_rs", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "R-Score: A Novel Approach to Compare Monte Carlo Renderings", "date": "2020-08", "abstract": "In this paper, we propose a new approach for the comparison and analysis of Monte Carlo (MC) rendering algorithms. It is based on a novel similarity measure called render score (RS) that is specically designed for MC rendering, statistically motivated, and incorporates bias and variance. Additionally, we propose a comparison scheme that alleviates the need for practically converged reference images (RIs). Our approach can be used to compare and analyze dierent rendering methods by revealing detailed (per-pixel) dierences and subsequently potential conceptual or implementation-related issues, thereby offering a more informative and meaningful alternative to commonly used metrics.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 630, "image_height": 533, "name": "freude_2020_rs-teaser-image.png", "type": "image/png", "size": 89069, "path": "Publication:freude_2020_rs", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image:thumb{{size}}.png" }, "sync_repositum_override": null, "authors": [ { "id": 1128, "drupal_id": 593, "orcid_id": null, "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", "Jimenez_SSS_2015" ], "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": "lecturer", "ordernum": 0 }, { "publ_id": "Jimenez_SSS_2015", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "lipp-2019-rtxq3", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Tucek_Tom-2016-aai", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": 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"publ_id": "winklhofer_christoph-2013-RRMR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wonka-2000-VisP", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "Wonka-2001-Ins", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "Wonka-2003-Ins", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "WONKA-2006-GVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "ZAU14", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zeilinger_matthias-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka_Matthias-2023-MatLabOptInterface", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "number": "TR-193-02-2020-4", "open_access": "no", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 630, "image_height": 533, "name": "freude_2020_rs-teaser-image.png", "type": "image/png", "size": 89069, "path": "Publication:freude_2020_rs", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image:thumb{{size}}.png" }, { "description": null, "filetitle": "technical-report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude_2020_rs-technical-report.pdf", "type": "application/pdf", "size": 1215341, "path": "Publication:freude_2020_rs", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-technical-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-technical-report:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "OpenData", "workgroup_id": "rend", "drupal_id": 4183, "name": "A Test Suite for Photorealistic Rendering and Filtering", "name_de": null, "website": null, "status": "active", "short_abstract": "This project will research methods to test and compare global-illumination algorithms as well as filtering algorithms, and also develop test data sets for this purpose.", "abstract": "Rendering photorealistic images has been a long-standing problem in computer graphics. Photorealistic image synthesis is still a vibrant and active research field with many open problems. Most offline methods use path-sampling techniques to evaluate the rendering equation to account for sophisticated light-transport effects. However, this procedure takes up to hours, where the inaccuracy of the initial estimation shows up as noise in the resulting images. In order to alleviate this, sophisticated light-transport algorithms and a number of noise-filtering techniques have been developed. Despite the fact that a large body of research exists in both directions, there are no standardized datasets that enable us to adequately assess their strengths and weaknesses. It would be of utmost importance to be able to compare existing light-transport and noise-filtering algorithms in a scientifically sound way.\nIn this project, we will therefore create such a dataset, and provide the following contributions:\n(1) a set of scene descriptions that can be used to test individual features of these systems, e.g., dealing with a variety of material models, high-resolution geometry, textured inputs, and a variety of lighting effects.\n(2) a large number of rendered images of these scenes with different noisiness, auxiliary buffers to maximize compatibility with the state-of-the-art noise filtering algorithms, and fully converged reference images for easy comparisons against the denoised outputs, and\n(3) a method to ensure parameter coverage, so that the dataset does not become prohibitively large, but still covers salient rendering configurations, that reveal the most interesting cases.\nIn summary, we propose to create a fertile ground for assessing the quality of different photorealistic rendering techniques. We believe that this would lead to significantly higher quality scientific works in the field.", "start_date": "2017-05-01", "end_date": "2020-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:OpenData", "type": "image/png", "size": 3775514, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/OpenData/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "ORD 61", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "brugger-2020-tdp", "brugger-2020-tsdpbr", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "freude_2020_rs", "freude-2023-sem", "wiesinger_2020_odpr" ], "url": "https://www.cg.tuwien.ac.at/research/projects/OpenData", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/", "__class": "Publication" }, { "id": "CORNEL-2017-FRS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Forced Random Sampling: fast generation of importance-guided blue-noise samples", "date": "2017-06", "abstract": "In computer graphics, stochastic sampling is frequently used to efficiently approximate complex functions and integrals. The error of approximation can be reduced by distributing samples according to an importance function, but cannot be eliminated completely. To avoid visible artifacts, sample distributions are sought to be random, but spatially uniform, which is called blue-noise sampling. The generation of unbiased, importance-guided blue-noise samples is expensive and not feasible for real-time applications. Sampling algorithms for these applications focus on runtime performance at the cost of having weak blue-noise properties. Blue-noise distributions have also been proposed for digital halftoning in the form of precomputed dither matrices. Ordered dithering with such matrices allows to distribute dots with blue-noise properties according to a grayscale image. By the nature of ordered dithering, this process can be parallelized easily. We introduce a novel sampling method called forced random sampling that is based on forced random dithering, a variant of ordered dithering with blue noise. By shifting the main computational effort into the generation of a precomputed dither matrix, our sampling method runs efficiently on GPUs and allows real-time importance sampling with blue noise for a finite number of samples. 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "blue-noise sampling", "importance sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 512, "name": "CORNEL-2017-FRS-image.png", "type": "image/png", "size": 345074, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ { "id": "PathSpace", "workgroup_id": "rend", "drupal_id": 4175, "name": "Path-Space Manifolds for Noise-Free Light Transport", "name_de": null, "website": null, "status": "active", "short_abstract": "The project aims to develop new statistical and algorithmic methods to improve light-transport simulation for offline rendering.", "abstract": "The synthesis of photorealistic images has always been a major challenge in the field of computer graphics and is of great relevance for many applications such as motion picture production, computer games and architectural lighting simulations. Despite our detailed knowledge behind the physical processes of light transport, accurate and efficient simulation is still a challenge and subject to a vast amount of research work. This is due to the fact that light transport is extremely intricate: a single photon, emitted from a particular light source, can interact many times with various materials until it finally reaches the human eye.\n\nCurrent state-of-the-art methods in the field of photorealistic rendering rely on Monte Carlo integration of the incident radiance. As opposed to traditional physical applications, where the solution emerges as the result of one Monte Carlo process, photorealistic rendering is, by principle, different: a separate Monte Carlo process is run for every pixel, resulting in visually unpleasant images. We show that in order to completely eliminate the noise, one either has to resort to rendering an enormous amount of samples per pixel (up to the order of hundreds of thousands) or use noise filtering, where we show that as of now, all methods have their inherent drawbacks.\n\nHowever, our experiments and experience have led us to two key insights that will open up the road towards noise-free photorealistic rendering:\n\nOur first key insight is that the most difficult light-transport phenomena usually exist on a low-dimensional manifold that can be specifically sampled exhaustively, resulting in images that are completely noise-free with respect to these difficult light-transport situations.\n\nOur second key insight is that noise filtering is a viable way to mitigate noise for simple light transport effects, such as low-frequency illumination on diffuse surfaces. \n\nConsequently, the goal of this project is to develop a fundamentally new method that it combines the approaches of (1) exhaustively sampling special path-space manifolds and (2) applying noise filtering to the remaining space. To this end, we will provide a mathematical model to quantify the effectiveness of modern noise-filtering methods.\n\nMore concretely, the project will make the following contributions to photorealistic rendering:\n\n(1) An analysis and visualization of the space of light paths to build a better understanding how most state-of-the-art algorithms can be improved to perform better in challenging light-transport situations.\n(2) A new class of algorithms that are capable of rendering the most difficult light-transport situations effectively in a fundamentally new way that guarantees that these phenomena always appear completely smooth and converged.\n\n(3) A new way of combining noise-filtering techniques with photorealistic rendering algorithms, where each technique is used for the subclass of light paths where it is the most useful.\n", "start_date": "2015-11-01", "end_date": "2020-10-31", "leader_id": 193, "logo": { "name": "logo.jpg", "path": "project:PathSpace", "type": "image/jpeg", "size": 1534101, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/PathSpace/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P27974", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "CORNEL-2017-FRS", "SAKAI-2015-EAPI", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/projects/PathSpace", "__class": "Project" }, { "id": "VRVis", "workgroup_id": "External", "drupal_id": 4155, "name": "VRVis Competence Center", "name_de": null, "website": null, "status": "active", "short_abstract": "The VRVis K1 Research Center is the leading application oriented research center in the area of virtual reality (VR) and visualization (Vis) in Austria and is internationally recognized. You can find extensive Information about the VRVis-Center here
\r\n", "abstract": "The VRVis K1 Research Center is the leading application oriented research center in the area of virtual reality (VR) and visualization (Vis) in Austria and is internationally recognized. You can find extensive Information about the VRVis-Center here
\r\n", "start_date": "2000-01-01", "end_date": null, "leader_id": 190, "logo": { "name": "logo.png", "path": "project:VRVis", "type": "image/png", "size": 3275, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/VRVis/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "K1", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "Ahmed-2008-EGVE", "Bauer_Dominik_2018_VR", "Berger_2011_UAE", "brunnhuber-2010-behavior-handicapped", "Cai_2018", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "cornel-2022-wih", "donabauer_2019_1", "Eibner-12", "ERLER-2017-HVR", "Freiler-2008-Set", "Gan-2011-ICU", "Ganuza", "Ganuza-2017-IVCSGM", "ilcik-2008-sgfa", "Kathi-2018-VRB", "kavelar_albert_2010_ebic", "Kellner-2021-DA", "kim_2009_iPhone", "Kim-2008_FWIP", "Konev-FCV2018", "konyha_2006_int", "Konyha_2007_SCV", "Konyha_2009_survey", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "Laramee-2004-thesis", "ludwig-2012-MT", "luksch_2020", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-2011-GEAR", "matkovic_2009_flickr", "matkovic-2007-clv", "Matkovic-2008-Bergen", "Matkovic-2008-ComVis", "Matkovic-2008-med", "Matkovic-2008-Steer", "matkovic-2010-eventlineview", "Matkovic-2014-ieee", "May_Michael_2015_DIS", "MEINDL-2015-OSR", "Miklin-2009-Mig", "Muehlbacher_diss_2018", "musialski-2009-sbfr", "musialski-2010-imv", "musialski-2010-pfi", "musialski-2010-tof", "ortner-2016-tunnel", "ortner-2016-visaware", "PB-VRVis-2018-005", "Pfahler-2016-MT", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw-2010-ADS", "Purg2015-b", "Purg2015-c", "Purg2015-China", "Purg2015-d", "purgathofer_2016I1", "Purgathofer-2013-cvws", "Purgathofer-2014-ETH", "Purgathofer-2014-LSM", "Purgathofer-2014-PanEu", "Purgathofer-2014-Rio", "Purgathofer-2015-WA", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", 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"Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "Bauer_Dominik_2018_VR", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9671", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", 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"eibensteiner-2021-pmcg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "Fritz-2012", "fruehstueck-2008-gpu", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "hanko-2019-ani", "HANN_2022_IPT", "Hartl_2006_OgC", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kapferer_2021_advancing", "Kathi-2018-VRB", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "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", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "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", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "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", "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", "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", "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-thesis", "markovich_aleksandar-2022-maa", "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", "MeierStauffer-2013-iihf", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "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", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "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-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", "Pajer-2006-tmcg", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "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", "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", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "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", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "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", "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-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", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "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", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "Schwengerer_Mathias-2022-BGL", "seidemann-bachelor-2013", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "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", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2020-parameter", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "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", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "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", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "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", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "zhang_le-2010-IGA", "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/2015/sakai-thesis/", "__class": "Publication" } ]