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    {
        "id": "neumann-1995-cons",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Constant Radiosity Step",
        "date": "1995-07",
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        "booktitle": "Rendering Techniques",
        "editor": "P. Hanrahan, W. Purgathofer",
        "location": "Wien, Austria",
        "note": "TALK: R. Tobler 13.5.1995",
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    },
    {
        "id": "elias-1995-view",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "View Dependent Solution for Monte Carlo Progressive Refinement Radiosity",
        "date": "1995-05",
        "abstract": "",
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        "authors": [
            439,
            232,
            190
        ],
        "booktitle": "Proceedings of 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
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        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/elias-1995-view/",
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    {
        "id": "Neumann-1995-SRM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1995-01",
        "abstract": "This paper solves the system of radiosity\nequations with a numerical approach rather than\nwith a physical interpretation as most current\nalgorithms do. Due to the high complexity of the\nproblem for highly complex scenes, a stochastic\nvariation of Jacobi iteration is developed which\nconverges stochastically to the correct solution.\nThe new method, called Stochastic Ray Method, is a\nsignificant improvement of Stochastic Radiosity. A\nlarge number of independent rays is chosen\nstochastically by importance sampling of the\npatches according to their power after the previous\niteration step. They all carry an equal amount of\npower into random directions, thereby representing\ntogether the total energy interreflection of the\nentire environment in a stochastic manner.\nAssuming a correctly distributed initial solution,\nwhich can be reached easily, the iteration\nprocess converges quickly and reduces the error\nin the result faster than other stochastic\nradiosity approaches. The new algorithm can\neasily be extended to treat various phenomena which\nare normally rather costly to incorporate in\nradiosity environments: specular reflection and\nspecular transmittance, non-diffuse emission and\n                point light sources.",
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        "authors": [
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            216,
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        ],
        "number": "TR-186-2-95-3",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "rendering",
            "radiosity",
            "stochastic",
            "raytracing"
        ],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Neumann-1995-SRM/",
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    },
    {
        "id": "neumann-1995-the",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
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            216,
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            439,
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            440
        ],
        "booktitle": "Rendering Techniques",
        "editor": "P. Hanrahan, W. Purgathofer",
        "location": "Wien, Austria",
        "note": "TALK: M. Feda 13.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/neumann-1995-the/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1994-SRM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1994-11",
        "abstract": "THIS TECHNICAL REPORT IS OUTDATED AND HAS BEEN SUPERSEDED BY TR-186-2-95-3.\nThis paper presents an efficient radiosity\nalgorithm for highly complex scenes. The new\niteration method, which is based on the Stochastic\nShooting Method, uses ray tracing to implicitly\ncalculate form factors. The variance in the solution\nis reduced by using a self-correcting, stochastically\nconverging iteration formula. The new algorithm can\nbe easily extended to simulate various phenomena\nnormally not found in radiosity environments:\ntransparency, specular reflection and point\n                light-sources.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
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        "authors": [
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            190,
            216,
            232,
            439,
            245,
            440
        ],
        "number": "TR-186-2-94-17",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            ""
        ],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Neumann-1994-SRM/",
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    },
    {
        "id": "elias-1994-mont",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Monte Carlo Radiosity using Piecewise Cubic Illumination Functions",
        "date": "1994-01",
        "abstract": "",
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        "authors": [
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        ],
        "journal": "Proceedings of the Winter School of Computer Graphics",
        "note": "Plzen, Czech Republic",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
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        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/elias-1994-mont/",
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