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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 歐陽明(Ming Ouhyoung) | |
dc.contributor.author | Chia-Yu Chou | en |
dc.contributor.author | 周家宇 | zh_TW |
dc.date.accessioned | 2021-06-16T13:17:36Z | - |
dc.date.available | 2020-08-20 | |
dc.date.copyright | 2020-08-20 | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020-08-12 | |
dc.identifier.citation | [1] C.Y. Chou. Cadise renderer, 2019–2020. https://github.com/xh5a5n6k6/cadise. [2] C. Eisenacher, G. Nichols, A. Selle, and B. Burley. Sorted deferred shading for production path tracing. Computer Graphics Forum, 32(4):125–132, 2013. [3] S. Herholz, O. Elek, J. Vorba, H. Lensch, and J. Kř ivánek. Product importance sampling for light transport path guiding. Comput. Graph. Forum, 35(4):67–77, July 2016. [4] H. Hey and W. Purgathofer. Importance sampling with hemispherical particle footprints. SCCG 2002, 05 2001. [5] H. W. Jensen. Importance driven path tracing using the photon map. In P. M. Hanrahan and W. Purgathofer, editors, Rendering Techniques ’95, pages 326–335, Vienna, 1995. Springer Vienna. [6] J. T. Kajiya. The rendering equation. SIGGRAPH Comput. Graph., 20(4):143–150, Aug. 1986. [7] E. P. Lafortune and Y. D. Willems. Bidirectional path tracing. In Proceedings of Third International Conference on Computational Graphics and Visualization Techniques (Compugraphics ’93), pages 145–153, Alvor, Portugal, December 1993. [8] E. P. Lafortune and Y. D. Willems. A 5d tree to reduce the variance of monte carlo ray tracing. In Rendering Techniques ’95 (Proceedings of the 6th Eurographics Workshop on Rendering), pages 11–20, 1995. [9] M. D. McCool and P. K. Harwood. Probability trees. In Proceedings of the Graphics Interface 1997 Conference, May 2123, 1997, Kelowna, BC, Canada, pages 37–46, May 1997. [10] T. Müller, M. Gross, and J. Novák. Practical path guiding for efficient lighttransport simulation. Computer Graphics Forum (Proceedings of EGSR), 36(4):91–100, June 2017. [11] E. Veach and L. Guibas. Bidirectional estimators for light transport. In In EGWR ' 94, pages 147–162, 1994. [12] E. Veach and L. J. Guibas. Optimally combining sampling techniques for monte carlo rendering. In Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '95, page 419–428, New York, NY, USA, 1995. Association for Computing Machinery. [13] E. Veach and L. J. Guibas. Metropolis light transport. In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '97, page 65–76, USA, 1997. ACM Press/AddisonWesley Publishing Co. [14] J. Vorba, J. Hanika, S. Herholz, T. Müller, J. Křivánek, and A. Keller. Path guiding in production. In ACM SIGGRAPH 2019 Courses, SIGGRAPH '19, New York, NY, USA, 2019. Association for Computing Machinery. [15] J. Vorba, O. Karlík, M. Šik, T. Ritschel, and J. Křivánek. Online learning of parametric mixture models for light transport simulation. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2014), 33(4), aug 2014. [16] J. Vorba and J. Křivánek. Adjointdriven russian roulette and splitting in light transport simulation. ACM Trans. Graph., 35(4):42:1–42:11, July 2016. [17] T. Whitted. An improved illumination model for shaded display. Commun. ACM, 23(6):343–349, June 1980. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61894 | - |
dc.description.abstract | 本篇論文提出了一個基於實際路徑導引的雙向路徑導引演算法。實際路徑導引使用空間方向樹來儲存入射輻射並且透過疊代的方式進行訓練。我們藉由使用兩個空間方向樹分別儲存輻射以及重要性將實際路徑導引延伸到雙向路徑導引。除了前項延伸以外,我們也提出了一套稱為雙向數據紀錄的方法,用於僅在單一子路徑中記錄不同數據(輻射及重要性)。我們也將透過含有複雜光路徑的場景與其他無偏差方法進行比較。 | zh_TW |
dc.description.abstract | This thesis presents a bidirectional path guiding algorithm based on the practical path guiding (PPG) method. PPG uses a spatial-directional tree (SD-tree) to store incident radiance and trains it iteratively. We extend PPG to bidirectional path guiding by using two SD-trees that store radiance and importance respectively. Apart from the above extension, we also introduce a method called bidirectional data recording (BDR) for recording different data (radiance and importance) only in a single subpath. We also compare our results to other unbiased methods with scenes containing difficult light paths. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T13:17:36Z (GMT). No. of bitstreams: 1 U0001-1906202023161500.pdf: 5116010 bytes, checksum: a9a1937dbcc0624878da47ac94cfb56b (MD5) Previous issue date: 2020 | en |
dc.description.tableofcontents | 誌謝v Acknowledgements vii 摘要ix Abstract xi 1 Introduction 1 1.1 Summary of Original Contributions . . . . . . . . . . . . . . . . . . . . 2 1.2 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2 Problem Statement and Related Work 3 2.1 Monte Carlo Rendering . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Path Guiding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3 The Bidirectional Path Guiding Algorithm 7 3.1 Importance Sampling from SDtrees . . . . . . . . . . . . . . . . . . . . 7 3.2 Bidirectional Data Recording . . . . . . . . . . . . . . . . . . . . . . . . 8 3.3 Adaptively Subdivide SDtrees . . . . . . . . . . . . . . . . . . . . . . . 8 3.4 Iterative Learning and Rendering . . . . . . . . . . . . . . . . . . . . . . 10 4 Results 11 5 Conclusion 19 Bibliography 21 | |
dc.language.iso | en | |
dc.title | 基於雙向路徑導引之強韌光傳輸模擬 | zh_TW |
dc.title | Bidirectional Path Guiding for Robust Light Transport Simulation | en |
dc.type | Thesis | |
dc.date.schoolyear | 108-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 張鈞法(Chun-Fa Chang),梁容輝(Rung-Huei Liang) | |
dc.subject.keyword | 光照傳輸,全局光照,路徑導引,渲染,光線追蹤, | zh_TW |
dc.subject.keyword | light transport,global illumination,path guiding,rendering,ray tracing, | en |
dc.relation.page | 22 | |
dc.identifier.doi | 10.6342/NTU202001074 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2020-08-12 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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U0001-1906202023161500.pdf 目前未授權公開取用 | 5 MB | Adobe PDF |
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