Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting
暂无分享,去创建一个
Aaron E. Lefohn | Peter Shirley | Chris Wyman | Matt Pharr | Wojciech Jarosz | Benedikt Bitterli | Aaron Lefohn | P. Shirley | A. Lefohn | M. Pharr | Wojciech Jarosz | C. Wyman | Benedikt Bitterli | Chris Wyman
[1] J. Zára,et al. Making radiance and irradiance caching practical: adaptive caching and neighbor clamping , 2006, EGSR '06.
[2] Jaakko Lehtinen,et al. Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics , 2015, ACM Trans. Graph..
[3] Yu-Chi Lai,et al. Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution , 2007, Rendering Techniques.
[4] Adam Arbree,et al. To appear in the ACM SIGGRAPH conference proceedings Lightcuts: A Scalable Approach to Illumination , 2022 .
[5] K.,et al. A MONTE CARLO STUDY OF SOME RATIO ESTIMATORS , 2022 .
[6] Alessandro Foi,et al. Blockwise Multi-Order Feature Regression for Real-Time Path-Tracing Reconstruction , 2019, ACM Trans. Graph..
[7] Kenny Mitchell,et al. Adaptive rendering with linear predictions , 2015, ACM Trans. Graph..
[8] Xi Deng,et al. Photon surfaces for robust, unbiased volumetric density estimation , 2019, ACM Trans. Graph..
[9] Anjul Patney,et al. Spatiotemporal variance-guided filtering: real-time reconstruction for path-traced global illumination , 2017, High Performance Graphics.
[10] Alejandro Conty Estevez,et al. Importance sampling of many lights with adaptive tree splitting , 2017, SIGGRAPH Talks.
[11] Wolfgang Heidrich,et al. Bidirectional importance sampling for direct illumination , 2005, EGSR '05.
[12] DachsbacherCarsten,et al. Scalable Realistic Rendering with Many-Light Methods , 2014 .
[13] Paul S. Heckbert,et al. Irradiance gradients , 2008, SIGGRAPH '08.
[14] Pradeep Sen,et al. A machine learning approach for filtering Monte Carlo noise , 2015, ACM Trans. Graph..
[15] Hendrik P. A. Lensch,et al. Edge-avoiding À-Trous wavelet transform for fast global illumination filtering , 2010, HPG '10.
[16] Frédo Durand,et al. Eurographics Symposium on Rendering 2015 Probabilistic Connections for Bidirectional Path Tracing Bidirectional Path Tracing Probabilistic Connections for Bidirectional Path Tracing , 2022 .
[17] Pablo Bauszat,et al. Gradient-domain path reusing , 2017, ACM Trans. Graph..
[18] Leonidas J. Guibas,et al. Metropolis light transport , 1997, SIGGRAPH.
[19] Marcus A. Magnor,et al. Eurographics Symposium on Rendering 2011 Guided Image Filtering for Interactive High-quality Global Illumination , 2022 .
[20] Markus H. Gross,et al. Practical Path Guiding for Efficient Light‐Transport Simulation , 2017, Comput. Graph. Forum.
[21] Matthias Zwicker,et al. Radiance caching for participating media , 2008, TOGS.
[22] ZwickerMatthias,et al. Adaptive sampling and reconstruction using greedy error minimization , 2011 .
[23] Jaakko Lehtinen,et al. Gradient-domain metropolis light transport , 2013, ACM Trans. Graph..
[24] Pavlos S. Efraimidis,et al. Weighted Random Sampling over Data Streams , 2010, Algorithms, Probability, Networks, and Games.
[25] Mateu Sbert,et al. Accelerating Path Tracing by Re-Using Paths , 2002, Rendering Techniques.
[26] Bochang Moon,et al. Adaptive Rendering Based on Weighted Local Regression , 2014, ACM Trans. Graph..
[27] Cem Yuksel,et al. Real-Time Rendering with Lighting Grid Hierarchy , 2019, PACMCGIT.
[28] Laurent Belcour,et al. Distributing Monte Carlo Errors as a Blue Noise in Screen Space by Permuting Pixel Seeds Between Frames , 2019, Comput. Graph. Forum.
[29] Henrik Wann Jensen,et al. Global Illumination using Photon Maps , 1996, Rendering Techniques.
[30] Petrik Clarberg,et al. Dynamic many-light sampling for real-time ray tracing , 2019, High Performance Graphics.
[31] Donald P. Greenberg,et al. Accurate direct illumination using iterative adaptive sampling , 2006, IEEE Transactions on Visualization and Computer Graphics.
[32] Jerome Spanier,et al. Quasi-Random Methods for Estimating Integrals Using Relatively Small Samples , 1994, SIAM Rev..
[33] Tobias Ritschel,et al. On-line learning of parametric mixture models for light transport simulation , 2014, ACM Trans. Graph..
[34] Wolfgang Heidrich,et al. Sequential Sampling for Dynamic Environment Map Illumination , 2022 .
[35] Bernard Péroche,et al. Bidirectional instant radiosity , 2006, EGSR '06.
[36] Paul G. Spirakis,et al. Weighted random sampling with a reservoir , 2006, Inf. Process. Lett..
[37] Li Fei-Fei,et al. Crowdsourcing in Computer Vision , 2016, Found. Trends Comput. Graph. Vis..
[38] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[39] Remarks on a Monte Carlo integration method , 1964 .
[40] Werner Purgathofer,et al. Importance sampling with hemispherical particle footprints , 2002, SCCG '02.
[41] Leonidas J. Guibas,et al. Bidirectional Estimators for Light Transport , 1995 .
[42] Gregory J. Ward,et al. A ray tracing solution for diffuse interreflection , 2008, SIGGRAPH '08.
[43] Toshiya Hachisuka,et al. Multiplexed metropolis light transport , 2014, ACM Trans. Graph..
[44] Andreas Dietrich,et al. OptiX: a general purpose ray tracing engine , 2010, SIGGRAPH 2010.
[45] Mark Meyer,et al. Denoising with kernel prediction and asymmetric loss functions , 2018, ACM Trans. Graph..
[46] Kenny Mitchell,et al. Nonlinearly Weighted First‐order Regression for Denoising Monte Carlo Renderings , 2016, Comput. Graph. Forum.
[47] Timo Aila,et al. Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder , 2017, ACM Trans. Graph..
[48] Matthias Zwicker,et al. Robust Denoising using Feature and Color Information , 2013, Comput. Graph. Forum.
[49] Morgan McGuire,et al. An efficient denoising algorithm for global illumination , 2017, High Performance Graphics.
[50] Parris K. Egbert,et al. Importance resampling for global illumination , 2005, EGSR '05.
[51] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[52] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[53] Henrik Wann Jensen,et al. Practical Hessian-based error control for irradiance caching , 2012, ACM Trans. Graph..
[54] Yusuke Tokuyoshi,et al. Hierarchical russian roulette for vertex connections , 2019, ACM Trans. Graph..
[55] A. J. Walker. New fast method for generating discrete random numbers with arbitrary frequency distributions , 1974 .
[56] Mateu Sbert,et al. A New Way to Re-using Paths , 2007, ICCSA.
[57] H. Jensen. Realistic Image Synthesis Using Photon Mapping , 2001 .
[58] M. Chao. A general purpose unequal probability sampling plan , 1982 .
[59] Markus H. Gross,et al. Spatio‐temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces , 2014, Comput. Graph. Forum.
[60] Jaakko Lehtinen,et al. Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering , 2015, Comput. Graph. Forum.
[61] Robert L. Cook,et al. Stochastic sampling in computer graphics , 1988, TOGS.
[62] Jan Novák,et al. Image-space control variates for rendering , 2016, ACM Trans. Graph..
[63] H. Hartley,et al. Unbiased Ratio Estimators , 1954, Nature.
[64] Jaakko Lehtinen,et al. Reconstructing the indirect light field for global illumination , 2012, ACM Trans. Graph..
[65] K. Bala. Ray Tracing , 1988 .
[66] M. J. D. Powell,et al. Weighted Uniform Sampling — a Monte Carlo Technique for Reducing Variance , 1966 .
[67] J. Spanier. A New Family of Estimators for Random Walk Problems , 1979 .
[68] Pierre Poulin,et al. Combinatorial Bidirectional Path‐Tracing for Efficient Hybrid CPU/GPU Rendering , 2011, Comput. Graph. Forum.
[69] Leif Kobbelt,et al. Theory, analysis and applications of 2D global illumination , 2012, TOGS.
[70] Jeffrey Scott Vitter,et al. Random sampling with a reservoir , 1985, TOMS.
[71] Peter Shirley,et al. Introduction to DirectX raytracing , 2018, SIGGRAPH Courses.
[72] Matthias Zwicker,et al. Adaptive rendering with non-local means filtering , 2012, ACM Trans. Graph..
[73] David K. McAllister,et al. OptiX: a general purpose ray tracing engine , 2010, ACM Trans. Graph..
[74] Mateu Sbert,et al. Efficient reuse of paths for random walk radiosity , 2008, Comput. Graph..
[75] Fabio Pellacini,et al. LightSlice: matrix slice sampling for the many-lights problem , 2011, ACM Trans. Graph..
[76] YukselCem,et al. Real-Time Stochastic Lightcuts , 2020 .
[77] Alexander Keller,et al. Massively Parallel Path Space Filtering , 2019, MCQMC.
[78] Matthias Zwicker,et al. Adaptive sampling and reconstruction using greedy error minimization , 2011, ACM Trans. Graph..
[79] Derek Nowrouzezahrai,et al. A comprehensive theory of volumetric radiance estimation using photon points and beams , 2011, TOGS.
[80] Petr Vévoda,et al. Bayesian online regression for adaptive direct illumination sampling , 2018, ACM Trans. Graph..
[81] Luca Fascione,et al. Path tracing in production - part 2: making movies , 2017, SIGGRAPH Courses.
[82] Jean-Claude Iehl,et al. A low-discrepancy sampler that distributes monte carlo errors as a blue noise in screen space , 2019, SIGGRAPH Talks.
[83] Sumanta N. Pattanaik,et al. Radiance caching for efficient global illumination computation , 2008, IEEE Transactions on Visualization and Computer Graphics.
[84] Matthias Zwicker,et al. Multidimensional adaptive sampling and reconstruction for ray tracing , 2008, ACM Trans. Graph..
[85] Cem Yuksel,et al. Stochastic lightcuts , 2019, High Performance Graphics.
[86] Matthias Zwicker,et al. Irradiance Gradients in the Presence of Participating Media and Occlusions , 2008, Comput. Graph. Forum.
[87] Donald B. Rubin,et al. Comment : A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest : The SIR Algorithm , 1987 .
[88] Chris Wyman,et al. Exploring and expanding the continuum of OIT algorithms , 2016, High Performance Graphics.
[89] Peter Shirley,et al. Monte Carlo techniques for direct lighting calculations , 1996, TOGS.
[90] Philipp Slusallek,et al. Combining global and local virtual lights for detailed glossy illumination , 2010, SIGGRAPH 2010.
[91] Morgan McGuire,et al. Combining analytic direct illumination and stochastic shadows , 2018, I3D.
[92] Philipp Slusallek,et al. Optimal multiple importance sampling , 2019, ACM Trans. Graph..
[93] K. Bala,et al. Lightcuts: a scalable approach to illumination , 2005, SIGGRAPH 2005.
[94] Gregory J. Ward,et al. Adaptive Shadow Testing for Ray Tracing , 1994 .
[95] BENEDIKT BITTERLI,et al. Selectively metropolised Monte Carlo light transport simulation , 2019, ACM Trans. Graph..
[96] Matthias Zwicker,et al. The Beam Radiance Estimate for Volumetric Photon Mapping , 2008, SIGGRAPH '08.
[97] Ingo Wald,et al. Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media , 2008, Comput. Graph. Forum.
[98] F. Durand,et al. Temporal light field reconstruction for rendering distribution effects , 2011, ACM Trans. Graph..
[99] Jacopo Pantaleoni,et al. Matrix Bidirectional Path Tracing , 2018, EGSR.
[100] Cem Yuksel,et al. Real-Time Stochastic Lightcuts , 2020, Proc. ACM Comput. Graph. Interact. Tech..
[101] Adam Arbree,et al. Scalable Realistic Rendering with Many‐Light Methods , 2014, Eurographics.
[102] Wolfgang Heidrich,et al. Bidirectional importance sampling for illumination from environment maps , 2004, SIGGRAPH '04.
[103] M. R. Mickey,et al. Some Finite Population Unbiased Ratio and Regression Estimators , 1959 .
[104] Per H. Christensen,et al. The Path to Path-Traced Movies , 2016, Found. Trends Comput. Graph. Vis..
[105] Reginald Gerald. Worthley. Unbiased ratio-type estimators , 1967 .
[106] Leonidas J. Guibas,et al. Optimally combining sampling techniques for Monte Carlo rendering , 1995, SIGGRAPH.
[107] Henrik Wann Jensen,et al. Importance Driven Path Tracing using the Photon Map , 1995, Rendering Techniques.
[108] Steven McDonagh,et al. Adaptive polynomial rendering , 2016, ACM Trans. Graph..
[109] Alexander Keller,et al. Instant radiosity , 1997, SIGGRAPH.
[110] Adam Arbree,et al. Multidimensional lightcuts , 2006, ACM Trans. Graph..
[111] Mateu Sbert,et al. Real‐time Light Animation , 2004, Comput. Graph. Forum.
[112] Csaba Kelemen,et al. Simple and Robust Mutation Strategy for Metropolis Light Transport Algorithm , 2001 .
[113] Justin Talbot,et al. Energy redistribution path tracing , 2005, ACM Trans. Graph..
[114] Yves D. Willems,et al. Bi-directional path tracing , 1993 .
[115] Toshiya Hachisuka,et al. Geometry-aware metropolis light transport , 2018, ACM Trans. Graph..
[116] Carsten Dachsbacher,et al. Gradient Estimation for Real-time Adaptive Temporal Filtering , 2018, PACMCGIT.
[117] Mateu Sbert,et al. Weighted Importance Sampling Techniques for Monte Carlo Radiosity , 2000, Rendering Techniques.
[118] Ulf Assarsson,et al. Tiled Shading , 2011, J. Graphics, GPU, & Game Tools.
[119] Marcos Fajardo,et al. Blue-noise dithered sampling , 2016, SIGGRAPH Talks.
[120] Jian Sun,et al. Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.