[ { "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, "repositum_presentation_id": null, "authors": [ 1128, 1129, 1073, 193 ], "booktitle": "Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "date_from": "2023-02-19", "date_to": "2023-02-21", "doi": "10.5220/0011886300003417", "event": "18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP)", "isbn": "978-989-758-634-7", "lecturer": [ 1128 ], "location": "Lisbon, Portugal", "open_access": "yes", "pages": "12", "pages_from": "119", "pages_to": "130", "publisher": "Scitepress", "volume": "1", "research_areas": [ "Rendering" ], "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": [ "OpenData", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/", "__class": "Publication" }, { "id": "brugger-2020-tdp", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Test Scene Design for Physically Based Rendering", "date": "2020-08", "abstract": "Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world. Complex scenes can be difficult to compute for rendering algorithms. This paper introduces a new comprehensive test database of scenes that treat different light setups in conjunction with diverse materials and discusses its design principles. A lot of research is focused on the development of new algorithms that can deal with difficult light conditions and materials efficiently. This database delivers a comprehensive foundation for evaluating existing and newly developed rendering techniques. A final evaluation compares different results of different rendering algorithms for all scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "brugger-2020-tdp-teaser-image.png", "type": "image/png", "size": 1883053, "path": "Publication:brugger-2020-tdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1780, 1128, 193 ], "open_access": "no", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://arxiv.org/abs/2008.11657", "caption": "arXiv", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "brugger-2020-tdp-paper.pdf", "type": "application/pdf", "size": 45483139, "path": "Publication:brugger-2020-tdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "brugger-2020-tdp-teaser-image.png", "type": "image/png", "size": 1883053, "path": "Publication:brugger-2020-tdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image:thumb{{size}}.png" } ], "projects_workgroups": [ "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/", "__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, "repositum_presentation_id": null, "authors": [ 1128, 1129, 1073, 193 ], "number": "TR-193-02-2020-4", "open_access": "no", "research_areas": [ "Rendering" ], "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": [ "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/", "__class": "Publication" }, { "id": "brugger-2020-tsdpbr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Test Scene Design for Physically Based Rendering", "date": "2020-04", "abstract": "Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world.\nComplex scenes can be difficult to compute for rendering algorithms.\nThe goal of this thesis is to create a comprehensive test database of scenes that treat different light setups in conjunction with diverse materials.\nA lot of research is focused on the development of new algorithms that can deal with difficult light conditions and materials efficiently.\nThis database should deliver a comprehensive foundation for evaluating existing and newly developed rendering techniques.\nA final evaluation will compare different results of different rendering algorithms for all scenes. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1780 ], "date_end": "2020-04", "date_start": "2019-10", "matrikelnr": "01527088", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [ "Physically Based Rendering", "Database", "Verification", "Tests" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "brugger-2020-tsdpbr-thesis.pdf", "type": "application/pdf", "size": 55508619, "path": "Publication:brugger-2020-tsdpbr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/brugger-2020-tsdpbr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/brugger-2020-tsdpbr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/", "__class": "Publication" }, { "id": "wiesinger_2020_odpr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "An Open Database for Physically Based Rendering", "date": "2020-03", "abstract": "The propagation of light and its interaction with matter can be simulated using mathematical models,\nmost commonly Bidirectional Reflectance Distribution Functions (BRDFs).\nHowever, the creation of physically accurate BRDFs and their verification can be challenging.\nIn order to be able to test and verify physically-based rendering algorithms, various methods have been researched.\nHowever, they are rarely used by the community.\nOne key to the verification of rendering algorithms is to provide test-methods and test-data.\nAnother key is to motivate the community to actually use them and run more tests.\nThis thesis focuses on the latter. For this purpose, the author designed a web-application called “Open Database for Physically-based Rendering (ODPR)”,\nwhere test-scenes of different types and from different studies will be merged into one publicly available place.\nA prototype for ODPR was implemented.\nThe web-application uses community-driven design-patterns similar to StackExchange-sites,\nand allows scientists to register and upload test-scenes.\nThe idea is, that ODPR will be built up and maintained with the help of the community,\nby providing free downloads of test-scenes and additional privileges to registered users. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1614 ], "co_supervisor": [ 1128 ], "date_end": "2020-03", "date_start": "2018-03", "matrikelnr": "01429087", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wiesinger_2020_odpr-thesis.pdf", "type": "application/pdf", "size": 2109257, "path": "Publication:wiesinger_2020_odpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/wiesinger_2020_odpr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/wiesinger_2020_odpr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/", "__class": "Publication" }, { "id": "celarek_adam-2019-qelta", "type_id": "journalpaper", "tu_id": 282852, "repositum_id": null, "title": "Quantifying the Error of Light Transport Algorithms", "date": "2019-07", "abstract": "This paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal-time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two-fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per-pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per-pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Error spectrum ensemble", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "celarek_adam-2019-qelta-image.png", "type": "image/png", "size": 39262, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 1667, 193, 1666 ], "cfp": { "name": "EGSR-2019_Call-for-Papers.pdf", "type": "application/pdf", "error": "0", "size": "174109", "orig_name": "EGSR-2019_Call-for-Papers.pdf", "ext": "pdf" }, "date_from": "2019-07-10", "date_to": "2019-07-12", "doi": "10.1111/cgf.13775", "event": "Eurographics Symposium on Rendering 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1013 ], "number": "4", "open_access": "yes", "pages_from": "111", "pages_to": "121", "publisher": "The Eurographics Association and John Wiley & Sons Ltd.", "volume": "38", "research_areas": [ "Rendering" ], "keywords": [ "measuring error", "light transport", "global illumination" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Quantifying-the-Error-of-Light-Transport-Algorithms", "caption": "Git repository", "description": "Git repository with the implementation of the error spectrum ensemble and short rendering generator.", "main_file": 1 } ], "files": [ { "description": "Error spectrum ensemble", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "celarek_adam-2019-qelta-image.png", "type": "image/png", "size": 39262, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "paper_preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-paper_preprint.pdf", "type": "application/pdf", "size": 2849560, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint:thumb{{size}}.png" }, { "description": "Slides from the presentation at EGSR", "filetitle": "presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-presentation.pdf", "type": "application/pdf", "size": 3561061, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation:thumb{{size}}.png" }, { "description": "Additional examples, experiments and similar.", "filetitle": "supplemental_material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-supplemental_material.pdf", "type": "application/pdf", "size": 81913248, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material:thumb{{size}}.png" }, { "description": "Teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1826, "image_height": 484, "name": "celarek_adam-2019-qelta-teaser.png", "type": "image/png", "size": 407655, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/", "__class": "Publication" }, { "id": "CELAREK-2017-QCL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Quantifying the Convergence of Light-Transport Algorithms", "date": "2017-11-14", "abstract": "This work aims at improving methods for measuring the error of unbiased, physically\nbased light-transport algorithms. State-of-the-art papers show algorithmic improvements\nvia error measures like Mean Square Error (MSE) or visual comparison of equal-time\nrenderings. These methods are unreliable since outliers can cause MSE variance and\nvisual comparison is inherently subjective.\nWe introduce a simple proxy algorithm: pure algorithms produce one image corresponding\nto the computation budget N. The proxy, on the other hand, averages N independent\nimages with a computation budget of 1. The proxy algorithm fulfils the preconditions\nfor the Central Limit Theorem (CLT), and hence, we know that its convergence rate is\n(1/N). Since this same convergence rate applies for all methods executed using the\nproxy algorithm, comparisons using variance- or standard-deviation-per-pixel images are\npossible. These per-pixel error images can be routinely computed and allow comparing\nthe render quality of different lighting effects. Additionally, the average of pixel variances\nis more robust against outliers compared to the traditional MSE or comparable metrics\ncomputed for the pure algorithm.\nWe further propose the Error Spectrum Ensemble (ESE) as a new tool for evaluating lighttransport\nalgorithms. It summarizes expected error and outliers over spatial frequencies.\nESE is generated using the data from the proxy algorithm: N error images are computed\nusing a reference, transformed into Fourier power spectra and compressed using radial\naverages. The descriptor is a summary of those radial averages.\nIn the results, we show that standard-deviation images, short equal-time renderings, ESE\nand expected MSE are valuable tools for assessing light-transport algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "CELAREK-2017-QCL-image.png", "type": "image/png", "size": 39262, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013 ], "date_end": "2017-11-14", "date_start": "2016-01-15", "diploma_examina": "2017-11-14", "matrikelnr": "0926881", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "error metric", "global illumination" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "CELAREK-2017-QCL-image.png", "type": "image/png", "size": 39262, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CELAREK-2017-QCL-poster.pdf", "type": "application/pdf", "size": 392985, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CELAREK-2017-QCL-thesis.pdf", "type": "application/pdf", "size": 16734560, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/", "__class": "Publication" } ]