[ { "id": "xmas-2025", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": " X-Mas Card 2025", "date": "2025-12-24", "abstract": "The Research Unit of Computer Graphics wishes you a Merry Christmas with this brilliantly illuminated Christmas tree.\nIts temperature field is simulated using GPU-accelerated photon tracing: millions of perfectly traced rays\ncontributing to a radiative transport operator driving a non-linear Newton-Raphson solver. In this season of light, let us\ncelebrate the beauty that emerges when physics meets festive geometry, Monte Carlo convergence brings tidings of joy,\nand your RTX card finally earns its keep doing something other than training yet another diffusion model. Wishing you\nlow RMSE in your experiments, convergence in your solvers, and just enough noise to make the magic feel real.\nMerry Christmas and a radiantly rendered New Year!", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "xmas-2025-image.jpg", "type": "image/jpeg", "size": 669944, "path": "Publication:xmas-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5496, 1128, 1946 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2025-card.pdf", "type": "application/pdf", "size": 2292169, "path": "Publication:xmas-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "xmas-2025-image.jpg", "type": "image/jpeg", "size": 669944, "path": "Publication:xmas-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/", "__class": "Publication" }, { "id": "sakai-2025-stater", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/222799", "title": "Statistical Error Reduction for Monte Carlo Rendering", "date": "2025-12-14", "abstract": "Denoising is an important post-processing step in physically based Monte Carlo (MC) rendering. While neural networks are widely used in practice, statistical analysis has recently become a viable alternative for denoising. In this paper, we present a general framework for statistics-based error reduction of both estimated radiance and variance. Specifically, we introduce a novel denoising approach for variance estimates, which can either improve variance-aware adaptive sampling or provide additional input for image denoising in a cascaded manner. Furthermore, we present multi-transform denoising: a general and efficient correction scheme for non-normal distributions, which typically occur in MC rendering. All these contributions combine to a robust denoising pipeline that does not require any pretraining and can run efficiently on current GPU hardware. Our results show distinct advantages over previous denoising methods, especially in the range of a few hundred samples per pixel, which is of high practical relevance. Finally, we demonstrate good convergence behavior as the number of samples increases, providing predictable results with low bias that are free of hallucinated neural artifacts. In summary, our statistics-based algorithms for adaptive sampling and denoising deliver fast, consistent, low-bias variance and radiance estimates.", "authors_et_al": false, "substitute": null, "main_image": { "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1000, "name": "sakai-2025-stater-Representative Image.png", "type": "image/png", "size": 711915, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1129, 1128, 193, 1946 ], "booktitle": "Proceedings of the SIGGRAPH Asia 2025 Conference Papers", "date_from": "2025-12-15", "date_to": "2025-12-18", "doi": "10.1145/3757377.3763995", "event": "SIGGRAPH Asia 2025 Conference", "isbn": "979-8-4007-2137-3", "lecturer": [ 1129 ], "location": "Hong Kong", "open_access": "yes", "pages": "12", "pages_from": "1", "pages_to": "12", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "Monte Carlo rendering", "path tracing", "denoising", "image filtering", "statistics" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/StatER", "caption": "Project Page", "description": null, "main_file": 1 } ], "files": { "0": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "sakai-2025-stater-paper.pdf", "type": "application/pdf", "size": 10120331, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-paper:thumb{{size}}.png" }, "1": { "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1000, "name": "sakai-2025-stater-Representative Image.png", "type": "image/png", "size": 711915, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "Supplementary Document", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2025-stater-Supplementary Document.pdf", "type": "application/pdf", "size": 29341520, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Supplementary Document.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Supplementary Document:thumb{{size}}.png" } }, "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/", "__class": "Publication" }, { "id": "freude-2025-ras", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/216171", "title": "Revisiting Analog Stereoscopic Film", "date": "2025-05", "abstract": "We present approaches for the simulation of an analog autostereoscopic (glasses-free) display and the visualization of analog color film at micro scales. These techniques were developed during an artistic research project and the creation of an accompanying art installation, which exhibits an analog stereo short film projected on a re-creation of a cyclostéréoscope, a historic device developed around 1952. We describe how computer graphics helped to understand the cyclostéréoscope, supported its physical re-creation, and enabled the visualization of the projection and material structure of analog film using physically based Monte Carlo light simulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "freude-2025-ras-image.png", "type": "image/png", "size": 3727580, "path": "Publication:freude-2025-ras", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image:thumb{{size}}.png" }, "sync_repositum_override": "date,articleno,open_access", "repositum_presentation_id": null, "authors": [ 1128, 5481, 5482, 5483, 193 ], "articleno": "N/A", "booktitle": "EPRESSIVE+WICED 2025 : The 9th ACM/EG Expressive Symposium : Eurographics Workshop on Intelligent Cinematography and Editing", "date_from": "2025-05-11", "date_to": "2025-05-12", "doi": "10.2312/exw.20251061", "event": "The 9th ACM/EG Expressive Symposium Eurographics Workshop on Intelligent Cinematography and Editing", "isbn": "978-3-03868-271-4", "lecturer": [ 1128 ], "location": "London", "open_access": "yes", "pages": "3", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Media arts", "Animation", "Rendering", "Visualization systems and tools", "Displays and imagers" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "freude-2025-ras-image.png", "type": "image/png", "size": 3727580, "path": "Publication:freude-2025-ras", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2025-ras-paper.pdf", "type": "application/pdf", "size": 52013444, "path": "Publication:freude-2025-ras", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4729" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/", "__class": "Publication" }, { "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": [ 1128, 1525, 5257, 1063, 193, 1946 ], "articleno": "e70048", "date_from": "2025", "date_to": "2025", "doi": "10.1111/cgf.70048", "event": "Eurographics 2025", "first_published": "2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "2", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "44", "research_areas": [ "Rendering" ], "keywords": [ "Ray tracing", "Physical simulation", "Computer-aided design" ], "weblinks": [], "files": [ { "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" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2025-iso-paper.pdf", "type": "application/pdf", "size": 13713470, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper.pdf", "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-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/", "__class": "Publication" }, { "id": "sakai-2024-asa", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/209940", "title": "A Statistical Approach to Monte Carlo Denoising", "date": "2024-12", "abstract": "The stochastic nature of modern Monte Carlo (MC) rendering methods inevitably produces noise in rendered images for a practical number of samples per pixel. The problem of denoising these images has been widely studied, with most recent methods relying on data-driven, pretrained neural networks. In contrast, in this paper we propose a statistical approach to the denoising problem, treating each pixel as a random variable and reasoning about its distribution. Considering a pixel of the noisy rendered image, we formulate fast pair-wise statistical tests—based on online estimators—to decide which of the nearby pixels to exclude from the denoising filter. We show that for symmetric pixel weights and normally distributed samples, the classical Welch t-test is optimal in terms of mean squared error. We then show how to extend this result to handle non-normal distributions, using more recent confidence-interval formulations in combination with the Box-Cox transformation. Our results show that our statistical denoising approach matches the performance of state-of-the-art neural image denoising without having to resort to any computation-intensive pretraining. Furthermore, our approach easily generalizes to other quantities besides pixel intensity, which we demonstrate by showing additional applications to Russian roulette path termination and multiple importance sampling.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1980, "image_height": 1320, "name": "sakai-2024-asa-Representative Image.jpg", "type": "image/jpeg", "size": 3344845, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png" }, "sync_repositum_override": "date,articleno", "repositum_presentation_id": null, "authors": [ 1129, 1128, 808, 1946, 193 ], "articleno": "68", "booktitle": "SA '24: SIGGRAPH Asia 2024 Conference Papers", "date_from": "2024-12-03", "date_to": "2024-12-06", "doi": "10.1145/3680528.3687591", "event": "SA '24: SIGGRAPH Asia 2024", "isbn": "979-8-4007-1131-2", "lecturer": [ 1129 ], "location": "Tokyo", "open_access": "yes", "pages": "11", "publisher": "Association for Computing Machinery", "research_areas": [ "Rendering" ], "keywords": [ "Monte Carlo rendering", "path tracing", "denoising", "image filtering", "statistics" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/StatMC", "caption": "Project Page", "description": null, "main_file": 1 } ], "files": { "0": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2024-asa-paper.pdf", "type": "application/pdf", "size": 11789710, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper:thumb{{size}}.png" }, "1": { "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1980, "image_height": 1320, "name": "sakai-2024-asa-Representative Image.jpg", "type": "image/jpeg", "size": 3344845, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "Supplementary Document", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2024-asa-Supplementary Document.pdf", "type": "application/pdf", "size": 10739991, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document:thumb{{size}}.png" } }, "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/", "__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": [ 1128, 1946, 1063, 1525, 193 ], "articleno": "e14957", "date_from": "2023-11", "date_to": "2023-11", "doi": "10.1111/cgf.14957", "event": "Pacific Graphics 2023", "first_published": "2023-11", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "7", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "42", "research_areas": [ "Rendering" ], "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": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/", "__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, "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": "Jimenez_SSS_2015", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Separable Subsurface Scattering", "date": "2015-06", "abstract": "In this paper we propose two real-time models for simulating subsurface scattering for a large variety of translucent materials, which need under 0.5 milliseconds per frame to execute. This makes them a practical option for real-time production scenarios. Current state-of-the-art, real-time approaches simulate subsurface light transport by approximating the radially symmetric non-separable diffusion kernel with a sum of separable Gaussians, which requires multiple (up to twelve) 1D convolutions. In this work we relax the requirement of radial symmetry to approximate a 2D diffuse reflectance profile by a single separable kernel. We first show that low-rank approximations based on matrix factorization outperform previous approaches, but they still need several passes to get good results. To solve this, we present two different separable models: the first one yields a high-quality diffusion simulation, while the second one offers an attractive trade-off between physical accuracy and artistic control. Both allow rendering subsurface scattering using only two 1D convolutions, reducing both execution time and memory consumption, while delivering results comparable to techniques with higher cost. Using our importance-sampling and jittering strategies, only seven samples per pixel are required. Our methods can be implemented as simple post-processing steps without intrusive changes to existing rendering pipelines.\n\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1381, "image_height": 731, "name": "Jimenez_SSS_2015-teaser.png", "type": "image/png", "size": 1415449, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1236, 1073, 1237, 1128, 808, 1238, 1239, 193, 1240 ], "date_from": "2015-06-23", "date_to": "2015-06-26", "event": "Eurographics Symposium on Rendering (EGSR)", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "location": "Darmstadt", "number": "6", "pages_from": "188", "pages_to": "197", "volume": "34", "research_areas": [ "Rendering" ], "keywords": [ "separable", "realtime rendering", "subsurface scattering", "filtering" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12529/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "EGSR 2015 talk slides.", "filetitle": "egsr2015talk", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-egsr2015talk.pptx", "type": "application/zip", "size": 37107902, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-egsr2015talk.pptx", "thumb_image_sizes": [] }, { "description": "Full paper preprint.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-paper.pdf", "type": "application/pdf", "size": 28716442, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper:thumb{{size}}.png" }, { "description": "Additional explanations and results of the method.", "filetitle": "supplementary1", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-supplementary1.pdf", "type": "application/pdf", "size": 27600680, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1:thumb{{size}}.png" }, { "description": "Kernel plots.", "filetitle": "supplementary2", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-supplementary2.pdf", "type": "application/pdf", "size": 4903341, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1381, "image_height": 731, "name": "Jimenez_SSS_2015-teaser.png", "type": "image/png", "size": 1415449, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/", "__class": "Publication" }, { "id": "Freude_MSc", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Extending Separable Subsurface Scattering to Arbitrary Materials", "date": "2015-01", "abstract": "This thesis proposes extensions for the Separable Subsurface Scattering algorithm to support\r\narbitrary materials. Four separable (rank-1) kernel models for the approximation of physically\r\nbased diffuse reflectance profiles are presented. Each model offers different approximation quality\r\nand controllability. The first two models are based on singular value decomposition and a\r\ncustom analytic pre-integration scheme. They enable fast deterministic kernel computation and\r\nprovide fixed-quality solutions. Two additional parametrized models are based on automatic\r\nand manual optimization and provide more control over the approximation quality but are more\r\ntime-consuming to generate. Higher rank approximations can be computed using the approach\r\nbased on singular value decomposition.\r\nAll four kernel models are used to compute approximations for physically measured diffuse\r\nreflectance profiles of different materials and tested using several special-case irradiance signals\r\nand complex proof-of-concept scenes. The results are compared to the state of the art in realtime\r\nrendering of subsurface scattering, showing comparable approximation quality at lower\r\ncomputational cost. The proposed extensions enable rendering of physically based subsurface\r\nscattering for arbitrary materials and dynamic scenes in real time.\r\n\r\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1072, "image_height": 577, "name": "Freude_MSc-.png", "type": "image/png", "size": 956703, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128 ], "supervisor": [ 193, 1073 ], "research_areas": [], "keywords": [ "subsurface scattering", "real-time" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1072, "image_height": 577, "name": "Freude_MSc-.png", "type": "image/png", "size": 956703, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Freude_MSc-poster.pdf", "type": "application/pdf", "size": 2251849, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Freude_MSc-thesis.pdf", "type": "application/pdf", "size": 19013128, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/", "__class": "Publication" }, { "id": "freude-2015-xmc", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2015", "date": "2015", "abstract": "This greeting card shows the branch of a Christmas tree which is decorated with a candle as well as the logos of our institute and the TU Wien.\r\nFor a realistic representation of Subsurface Scattering in the candle and the pine needles, a method called Separable Subsurface Scattering was used, which was developed in cooperation with our institute.\r\nThis image was calculated in real time, with the additional use of HDR rendering and depth-of-field. Only the frost effect and the flame of the candle were added later using GIMP.\r\nThe images on the right show additional examples of the used Subsurface Scattering technique.\r\n\r\nDiese Grußkarte zeigt den Ast eines Christbaums welcher mit einer Kerze sowie den Logos des Instituts und der TU Wien dekoriert ist.\r\nUm eine möglichst realistische Darstellung von Subsurface Scattering in der Kerze sowie den Tannennadeln zu erzielen,\r\nwurde eine Methode namens Separable Subsurface Scattering verwendet, welche in Kooperation mit unserem Institut entwickelt wurde.\r\nDieses Bild wurde in Echtzeit berechnet, unter zusätzlicher Verwendung von HDR Rendering und Tiefenunschärfe.\r\nLediglich der Frost-Effekt sowie die Flamme der Kerze wurden nachträglich mittels GIMP hinzugefügt.\r\nDie Bilder auf der rechten Seite zeigen weitere Beispiele der verwendeten Subsurface Scattering Technik.", "authors_et_al": false, "substitute": null, "main_image": { "description": "X-Mas Card 2015", "filetitle": "Image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 1017, "name": "freude-2015-xmc-Image.png", "type": "image/png", "size": 1861057, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128 ], "research_areas": [], "keywords": [ "X-Mas Card" ], "weblinks": [], "files": [ { "description": "X-Mas Card 2015", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2015-xmc-Card.pdf", "type": "application/pdf", "size": 3974053, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card:thumb{{size}}.png" }, { "description": "X-Mas Card 2015", "filetitle": "Image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 1017, "name": "freude-2015-xmc-Image.png", "type": "image/png", "size": 1861057, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/", "__class": "Publication" } ]