course

Production volume rendering: SIGGRAPH 2017 course

Authors:

Magnus Wrenninge,

Christopher Kulla,

Ralf HabelAuthors Info & Claims

SIGGRAPH '17: ACM SIGGRAPH 2017 Courses

Article No.: 2, Pages 1 - 79

https://doi.org/10.1145/3084873.3084907

Published: 30 July 2017 Publication History

Abstract

This document might be out of date, please check online for an updated version.

With significant advances in techniques, along with increasing computational power, path tracing has now become the predominant rendering method used in movie production. Thanks to these advances, volume rendering can now take full advantage of the path tracing revolution, allowing the creation of photoreal images that would not have been feasible only a few years ago. However, volume rendering also provides its own set of unique challenges that can be daunting to path tracer developers and researchers accustomed to dealing only with surfaces. While recent texts and materials have covered some of these challenges, to the best of our knowledge none have comprehensively done so, especially when confronted with the complexity and scale demands required by production. For example, the last volume rendering course at SIGGRAPH in 2011 discussed ray marching and precomputed lighting and shadowing, none of which are techniques advisable for production purposes in 2017.

References

[1]

Jon Louis Bentley. 1975. Multidimensional Binary Search Trees Used for Associative Searching. Commun. ACM 18, 9 (Sept. 1975), 509--517.

Digital Library

[2]

H. W. Bertini. 1963. Monte Carlo Simulations on Intranuclear Cascades. Technical Report ORNL-3383. Oak Ridge National Laboratory, Oak Ridge, TN, USA.

[3]

L. L. Carter, E. D. Cashwell, and W. M. Taylor. 1972. Monte Carlo Sampling with Continuously Varying Cross Sections Along Flight Paths. Nuclear Science and Engineering 48, 4 (1972), 403--411.

[4]

Subrahmanyan Chandrasekhar. 1950. Radiative Transfer. Clarendon Press.

[5]

Andrew Clinton and Mark Elendt. 2009. Rendering Volumes with Microvoxels. In SIGGRAPH 2009: Talks (SIGGRAPH '09). ACM, New York, NY, USA, Article 47, 1 pages.

Digital Library

[6]

Robert L. Cook, Thomas Porter, and Loren Carpenter. 1984. Distributed ray tracing. Computer Graphics (Proc. of SIGGRAPH) 18, 3 (Jan. 1984), 137--145.

Digital Library

[7]

S. N. Cramer. 1978. Application of the Fictitious Scattering Radiation Transport Model for Deep-Penetration Monte Carlo Calculations. Nuclear Science and Engineering 65, 2 (1978), 237--253.

[8]

Roger Eckhardt. 1987. Stan Ulam, John von Neumann, and the Monte Carlo Method. Los Alamos Science, Special Issue (1987), 131--137.

[9]

Christian Eisenacher, Gregory Nichols, Andrew Selle, and Brent Burley. 2013. Sorted Deferred Shading for Production Path Tracing. Computer Graphics Forum (2013).

[10]

Iliyan Georgiev, Jaroslav Křivánek, Stefan Popov, and Philipp Slusallek. 2012. Importance Caching for Complex Illumination. Computer Graphics Forum 31, 2pt3 (2012), 701--710. EUROGRAPHICS '12.

Digital Library

[11]

M. Hapala and V. Havran. 2011. Review: Kd-tree Traversal Algorithms for Ray Tracing. Computer Graphics Forum 30, 1 (March 2011), 199--213.

[12]

L. G. Henyey and J. L. Greenstein. 1941. Diffuse radiation in the Galaxy. Astrophysical Journal 93 (Jan. 1941), 70--83.

[13]

Frederik W Jansen. 1986. Data Structures for Ray Tracing. In Proceedings of a Workshop (Eurographics Seminars on Data Structures for Raster Graphics. Springer-Verlag New York, Inc., 57--73.

[14]

Doyub Kim and Hyeong-Seok Ko. 2007. Eulerian Motion Blur. In Eurographics Workshop on Natural Phenomena, D. Ebert and S. Merillou (Eds.). The Eurographics Association.

[15]

Christopher Kulla and Marcos Fajardo. 2012. Importance Sampling Techniques for Path Tracing in Participating Media. CGF (Proc. of Eurographics Symposium on Rendering) 31, 4 (June 2012), 1519--1528.

Digital Library

[16]

Peter Kutz, Ralf Habel, Yining Karl Li, and Jan Novák. 2017. Spectral and Decomposition Tracking for Rendering Heterogeneous Volumes. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2017) 36, 4 (2017).

Digital Library

[17]

Tom Lokovic and Eric Veach. 2000. Deep Shadow Maps. In Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '00). ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 385--392.

Digital Library

[18]

David J. MacDonald and Kellogg S. Booth. 1990. Heuristics for Ray Tracing Using Space Subdivision. Vis. Comput. 6, 3 (May 1990), 153--166.

Digital Library

[19]

Stephen Marshall, Tim Speltz, Greg Gladstone, Krzysztof Rost, and Jon Reisch. 2017. Racing to the Finish Line: Effects Challenges on Cars 3. In ACM SIGGRAPH 2017 Talks (SIGGRAPH '17). ACM, New York, NY, USA.

Digital Library

[20]

Johannes Meng, Marios Papas, Ralf Habel, Carsten Dachsbacher, Steve Marschner, Markus Gross, and Wojciech Jarosz. 2015. Multi-Scale Modeling and Rendering of Granular Materials. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 34, 4 (July 2015).

Digital Library

[21]

Ken Museth. 2013. VDB: High-resolution Sparse Volumes with Dynamic Topology. ACM TOG 32, 3 (July 2013), 27:1--27:22.

Digital Library

[22]

Jan Novák, Andrew Selle, and Wojciech Jarosz. 2014. Residual Ratio Tracking for Estimating Attenuation in Participating Media. ACM TOG (Proc. of SIGGRAPH Asia) 33, 6 (Nov. 2014), 179:1--179:11.

Digital Library

[23]

Ken H. Perlin and Eric M. Hoffert. 1989. Hypertexture. Computer Graphics (Proc. of SIGGRAPH) 23, 3 (July 1989), 253--262.

Digital Library

[24]

Matt Pharr and Greg Humphreys. 2010. Physically Based Rendering: From Theory to Implementation (2nd ed.). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.

[25]

Matthias Raab, Daniel Seibert, and Alexander Keller. 2008. Unbiased Global Illumination with Participating Media. In Monte Carlo and Quasi-Monte Carlo Methods 2006. Springer, 591--606.

[26]

Charles M. Schmidt and Brian C. Budge. 2002. Simple Nested Dielectrics in Ray Traced Images. Journal of Graphics Tools 7, 2 (2002), 1--8.

[27]

H. R. Skullerud. 1968. The stochastic computer simulation of ion motion in a gas subjected to a constant electric field. Journal of Physics D: Applied Physics 1, 11 (1968), 1567--1568.

[28]

Carlos Ureña, Marcos Fajardo, and Alan King. 2013. An Area-preserving Parametrization for Spherical Rectangles. In Proceedings of the Eurographics Symposium on Rendering (EGSR '13). Eurographics Association, 59--66.

Digital Library

[29]

Eric Veach. 1997. Robust Monte Carlo Methods for Light Transport Simulation. Ph.D. Dissertation. Stanford University, Stanford, CA, USA.

[30]

Eric Veach and Leonidas J. Guibas. 1995. Optimally combining sampling techniques for Monte Carlo rendering (ACM SIGGRAPH 1995). 419--428.

[31]

John von Neumann. 1951. Various Techniques Used in Connection with Random Digits. Journal of Research of the National Bureau of Standards, Appl. Math. Series 12 (1951), 36--38.

[32]

Jiří Vorba, Ondřej Karlík, Martin Šik, Tobias Ritschel, and Jaroslav Křivánek. 2014. On-line Learning of Parametric Mixture Models for Light Transport Simulation. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2014) 33, 4 (aug 2014).

Digital Library

[33]

Ingo Wald and Vlastimil Havran. 2006. On building fast kd-trees for ray tracing, and on doing that in O(N log N). In Proceedings of IEEE Symposium on Interactive Ray Tracing 2006 (18--20). 61--69.

[34]

E.R. Woodcock, T. Murphy, P.J. Hemmings, and T.C. Longworth. 1965. Techniques used in the GEM code for Monte Carlo neutronics calculations in reactors and other systems of complex geometry. In Applications of Computing Methods to Reactor Problems. Argonne National Laboratory.

[35]

Magnus Wrenninge. 2012. Production Volume Rendering: Design and Implementation. CRC Press.

[36]

Magnus Wrenninge. 2016. Efficient Rendering of Volumetric Motion Blur Using Temporally Unstructured Volumes. Journal of Computer Graphics Techniques (JCGT) 1 (31 January 2016), 1--34.

[37]

Magnus Wrenninge and Nafees Bin Zafar. 2011. Production Volume Rendering 1: Fundamentals (ACM SIGGRAPH 2011 Courses).

[38]

Magnus Wrenninge, Nafees Bin Zafar, Ollie Harding, Gavin Graham, Jerry Tessendorf, Victor Grant, Andrew Clinton, and Antoine Bouthors. 2011. Production Volume Rendering 2: Systems (ACM SIGGRAPH 2011 Courses).

[39]

Magnus Wrenninge and Michael Rice. 2016. Volume Modeling Techniques in The Good Dinosaur. In ACM SIGGRAPH 2016 Talks (SIGGRAPH '16). ACM, New York, NY, USA, Article 63, 1 pages.

Digital Library

[40]

Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori Dobashi, and Tomoyuki Nishita. 2011. Toward Optimal Space Partitioning for Unbiased, Adaptive Free Path Sampling of Inhomogeneous Participating Media. CGF (Proc. of Pacific Graphics) 30, 7 (2011), 1911--1919.

[41]

Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori Dobashi, and Tomoyuki Nishita. 2010. Unbiased, Adaptive Stochastic Sampling for Rendering Inhomogeneous Participating Media. ACM TOG (Proc. of SIGGRAPH Asia) 29, 6 (Dec. 2010), 177:1--177:8.

[42]

C. D. Zerby, R. B. Curtis, and H. W. Bertini. 1961. The Relativistic Doppler Problem. Technical Report ORNL-61-7-20. Oak Ridge National Laboratory, Oak Ridge, TN, USA.

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cover image ACM Conferences

SIGGRAPH '17: ACM SIGGRAPH 2017 Courses

July 2017

2467 pages

ISBN:9781450350143

DOI:10.1145/3084873

Copyright © 2017 Owner/Author.

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Published: 30 July 2017

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SIGGRAPH '17: Special Interest Group on Computer Graphics and Interactive Techniques Conference

July 30 - August 3, 2017

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https://dl.acm.org/doi/10.1145/3665320.3670993
Zellmann SWu QSahistan AMa KWald I(2024)Beyond ExaBricks: GPU Volume Path Tracing of AMR DataComputer Graphics Forum10.1111/cgf.1509543:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15095
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Šmajdek ULesar ŽMarolt MBohak C(2024)Combined volume and surface rendering with global illumination cachingThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-02932-940:4(2491-2503)Online publication date: 1-Apr-2024
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