Irradiance regression for efficient final gathering in global illumination
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- 作者：Xuezhen Huang ; Xin Sun ; Zhong Ren ; Xin Tong ; Baining Guo…
- 关键词：global illumination ; photon mapping ; final gathering ; radiance estimation ; regression
- 刊名：Frontiers of Computer Science in China
- 出版年：2015
- 出版时间：June 2015
- 年：2015
- 卷：9
- 期：3
- 页码：456-465
- 全文大小：666 KB
- 参考文献：1.Kajiya J T. The rendering equation. SIGGRAPH Comput. Graph., 1986, 20(4): 143鈥?50View Article
2.Jensen H W. Realistic image synthesis using photon mapping. Natick, MA: A. K. Peters, Ltd., 2001View Article
3.Dutr茅 P, Jensen H W, Arvo J, Bala K, Bekaert P, Marschner S, Pharr M. State of the art in monte carlo global illumination. In: Proceedings of ACM SIGGRAPH 2004 Course Notes. 2004
4.Wald I, Mark W R, G眉nther J, Boulos S, Ize T, Hunt W, Parker S G, Shirley P. State of the art in ray tracing animated scenes. Computer Graphics Forum, 2007, 28(6): 1691鈥?722View Article
5.Ritschel T, Dachsbacher C, Grosch T, Kautz J. The state of the art in interactive global illumination. Computer Graphics Forum, 2012, 31(1): 160鈥?88View Article
6.Lafortune E P, Willems Y D. Bi-directional path tracing. In: Proceedings of ACM SIGGRAPH. 1993, 145鈥?53
7.Keller A. Instant radiosity. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH鈥?97. 1997, 49鈥?6View Article
8.Jensen H W, Christensen N J. Photon maps in bidirectional Monte Carlo ray tracing of complex objects. Computers & Graphics, 1995, 19(2): 215鈥?24View Article
9.Ward G J, Rubinstein FM, Clear R D. A ray tracing solution for diffuse interreflection. SIGGRAPH Comput. Graph., 1988, 22(4): 85鈥?2View Article
10.Ward G J, Heckbert P S. Irradiance gradients. In: Proceedings of 3rd Eurographics Workshop on Rendering. 1992, 85鈥?8
11.Kriv谩nek J, Gautron P, Ward G, Jensen H W, Christensen P H, Tabellion E. Practical global illumination with irradiance caching. In: Proceedings of ACM SIGGRAPH, 2008, 60:1鈥?0:20
12.Schwarzhaupt J, Jensen H W, Jarosz W. Practical hessian-based error control for irradiance caching. ACM Transactions on Graphics, 2012, 31(6):193View Article
13.Spencer B, Jones M W. Into the blue: better caustics through photon relaxation. Computer Graphics Forum, 2009, 28(2): 319鈥?28View Article
14.Hachisuka T, Ogaki S, Jensen HW. Progressive photon mapping. ACM Transactions on Graphics, 2008, 27(5): 130:1鈥?30:8View Article
15.Hachisuka T, Jarosz W, Bouchard G, Christensen P, Frisvad J R, Jakob W, Jensen HW, Kaschalk M, Knaus C, Selle A, Spencer B. State of the art in photon density estimation. In: Proceedings of ACM SIGGRAPH 2012 Courses, SIGGRAPH鈥?12. 2012, 6:1鈥?:469
16.Brouillat J, Bouville C, Loos B, Hansen C, Bouatouch K. A Bayesian monte carlo approach to global illumination. Computer Graphics Forum, 2009, 28(8): 2315鈥?329View Article
17.Marques R, Bouville C, Ribardi猫re M, Santos L P, Bouatouch K. A spherical gaussian framework for Bayesian Monte Carlo rendering of glossy surfaces. IEEE Transactions on Visualization and Computer Graphics, 2013, 19(10): 1619鈥?632View Article
18.Sloan P P, Kautz J, Snyder J. Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments. ACM Transactions on Graphics, 2002, 21(3): 527鈥?36View Article
19.Wang J, Xu K, Zhou K, Lin S, Hu S M, Guo B. Spherical harmonics scaling. The Visual Computer, 2006, 22: 713鈥?20View Article
20.Ng R, Ramamoorthi R, Hanrahan P. All-frequency shadows using nonlinear wavelet lighting approximation. ACM Transactions on Graphics, 2003, 22(3): 376鈥?81View Article
21.Tsai Y T, Shih Z C. All-frequency precomputed radiance transfer using spherical radial basis functions and clustered tensor approximation. ACM Transactions on Graphics, 2006, 25(3): 967鈥?76View Article
22.Xu K, Jia Y T, Fu H, Hu S M, Tai C L. Spherical piecewise constant basis functions for all-frequency precomputed radiance transfer. IEEE Transaction on Visualization and Computer Graphics, 2008, 14(2): 454鈥?67View Article
23.Zhang Y, Dong Z, Ma K L. Real-time volume rendering in dynamic lighting environments using precomputed photon mapping. IEEE Transaction on Visualization Computer Graphics, 2013, 19(8): 1317鈥?330View Article
24.Zhou K, Hu Y, Lin S, Guo B, Shum H Y. Precomputed shadow fields for dynamic scenes. ACM Transactions on Graphics, 2005, 24(3): 1196鈥?201View Article
25.Ren Z, Wang R, Snyder J, Zhou K, Liu X, Sun B, Sloan P P, Bao H, Peng Q, Guo B. Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation. ACM Transactions on Graphics, 2006, 25(3): 977鈥?86View Article
26.Sun X, Zhou K, Chen Y, Lin S, Shi J, Guo B. Interactive relighting with dynamic brdfs. ACM Transactions on Graphics, 2007, 26(3): 27View Article
27.Wang R, Tran J, Luebke D. All-frequency interactive relighting of translucent objects with single and multiple scattering. ACM Transactions on Graphics, 2005, 24(3): 1202鈥?207View Article
28.Xu K, Gao Y, Li Y, Ju T, Hu S M. Real-time homogenous translucent material editing. Computer Graphics Forum, 2007, 26(3): 545鈥?52View Article
29.Wang R, Cheslack-Postava E, Wang R, Luebke D, Chen Q, Hua W, Peng Q, Bao H. Real-time editing and relighting of homogeneous translucent materials. The Visual Computer, 2008, 24(7-9): 565鈥?75View Article
30.Dachsbacher C, Stamminger M. Reflective shadow maps. In: Proceedings of the 2005 Symposium on Interactive 3D Graphics and Games, I3D鈥?05. 2005, 203鈥?31View Article
31.Dachsbacher C, Stamminger M. Splatting indirect illumination. In: Proceedings of the 2006 Symposium on Interactive 3D Graphics and Games, I3D鈥?06. 2006, 93鈥?00View Article
32.Ritschel T, Grosch T, Kim M H, Seidel H P, Dachsbacher C, Kautz J. Imperfect shadow maps for efficient computation of indirect illumination. ACM Transactions on Graphics, 2008, 27(5): 129:1鈥?29:8View Article
33.Ritschel T, Engelhardt T, Grosch T, Seidel H P, Kautz J, Dachsbacher C. Micro-rendering for scalable, parallel final gathering. ACM Transactions on Graphics, 2009, 28(5): 132:1鈥?32:8
34.Xu K, Cao Y P, Ma L Q, Dong Z, Wang R, Hu S M. A practical algorithm for rendering interreflections with all-frequency brdfs. ACM Transactions on Graphics, 2014, 33(1): 10:1鈥?0:16View Article
35.Ramamoorthi R, Hanrahan P. An efficient representation for irradiance environment maps. In: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH鈥?01. 2001, 497鈥?00View Article
36.Wang R, Wang R, Zhou K, Pan M, Bao H. An efficient gpu-based approach for interactive global illumination. ACM Transactions on Graphics, 2009, 28(3): 91:1鈥?1:8
37.Wang J, Ren P, Gong M, Snyder J, Guo B. All-frequency rendering of dynamic, spatially-varying reflectance. ACM Transactions on Graphics, 2009, 28(5): 133:1鈥?33:10
38.Xu K, Sun W L, Dong Z, Zhao D Y, Wu R D, Hu S M. Anisotropic spherical gaussians. ACM Transactions on Graphics, 2013, 32(6): 209:1鈥?09:11
39.Ren P, Wang J, Gong M, Lin S, Tong X, Guo B. Global illumination with radiance regression functions. ACM Transactions on Graphics, 2013, 32(4): 130:1鈥?30:12View Article
40.Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000, 290(5500): 2323鈥?326View Article - 作者单位：Xuezhen Huang (1)
Xin Sun (2)
Zhong Ren (1)
Xin Tong (2)
Baining Guo (2)
Kun Zhou (1)
1. State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, 310058, China
2. Microsoft Research Asia, Beijing, 100029, China - 刊物类别：Computer Science
- 刊物主题：Computer Science, general
Chinese Library of Science - 出版者：Higher Education Press, co-published with Springer-Verlag GmbH
- ISSN：1673-7466
文摘
Photon mapping is widely used for global illumination rendering because of its high computational efficiency. But its efficiency is still limited mainly by the intensive sampling required in final gathering a process that is critical for removing low frequency artifacts of density estimation. In this paper we propose a method to predict the final gathering estimation with direct density estimation thereby achieving high quality global illumination by photon mapping with high efficiency. We first sample the irradiance of a subset of shading points by both final gathering and direct radiance estimation. Then we use the samples as a training set to predict the final gathered irradiance of other shading points through regression. Consequently we are able to achieve about three times overall speedup compared with straightforward final gathering in global illumination computation with the same rendering quality.