Deep Kernel Density Estimation for Photon Mapping
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Shilin Zhu | Ravi Ramamoorthi | Henrik Wann Jensen | Zexiang Xu | Hao Su | R. Ramamoorthi | H. Jensen | Shilin Zhu | Hao Su | Zexiang Xu
[1] Rui Wang,et al. Adversarial Monte Carlo denoising with conditioned auxiliary feature modulation , 2019, ACM Trans. Graph..
[2] Donald P. Greenberg,et al. Global illumination using local linear density estimation , 1997, TOGS.
[3] Xiangxu Meng,et al. Adaptive Photon Mapping Based on Gradient , 2016, Journal of Computer Science and Technology.
[4] Eric P. Lafortune,et al. Monte Carlo light tracing with direct computation of pixel intensities , 1993 .
[5] T KajiyaJames. The rendering equation , 1986 .
[6] Anton Kaplanyan,et al. Adaptive progressive photon mapping , 2013, TOGS.
[7] Henrik Wann Jensen,et al. Global Illumination using Photon Maps , 1996, Rendering Techniques.
[8] Frédo Durand,et al. A frequency analysis of light transport , 2005, SIGGRAPH '05.
[9] Donald P. Greenberg,et al. Global Illumination via Density Estimation , 1995, Rendering Techniques.
[10] Ravi Ramamoorthi,et al. Deep high dynamic range imaging of dynamic scenes , 2017, ACM Trans. Graph..
[11] Jaakko Lehtinen,et al. Sample-based Monte Carlo denoising using a kernel-splatting network , 2019, ACM Trans. Graph..
[12] Niels Jørgen Christensen,et al. Photon maps in bidirectional Monte Carlo ray tracing of complex objects , 1995, Comput. Graph..
[13] R. Ramamoorthi,et al. Adaptive wavelet rendering , 2009, SIGGRAPH 2009.
[14] Justin Talbot,et al. Energy redistribution path tracing , 2005, ACM Trans. Graph..
[15] Yves D. Willems,et al. Bi-directional path tracing , 1993 .
[16] Philipp Slusallek,et al. Light transport simulation with vertex connection and merging , 2012, ACM Trans. Graph..
[17] Jon Sporring,et al. Diffusion Based Photon Mapping , 2008, Comput. Graph. Forum.
[18] Ben Spencer,et al. Photon Parameterisation for Robust Relaxation Constraints , 2013, Comput. Graph. Forum.
[19] Ben Spencer,et al. Progressive photon relaxation , 2013, ACM Trans. Graph..
[20] Jaakko Lehtinen,et al. Deep convolutional reconstruction for gradient-domain rendering , 2019, ACM Trans. Graph..
[21] Ben Spencer,et al. Into the Blue: Better Caustics through Photon Relaxation , 2009, Comput. Graph. Forum.
[22] Ravi Ramamoorthi,et al. Multiple Axis‐Aligned Filters for Rendering of Combined Distribution Effects , 2017, Comput. Graph. Forum.
[23] Alexander Keller,et al. Metropolis Light Transport for Participating Media , 2000, Rendering Techniques.
[24] Mark Meyer,et al. Kernel-predicting convolutional networks for denoising Monte Carlo renderings , 2017, ACM Trans. Graph..
[25] Matthias Zwicker,et al. Robust Denoising using Feature and Color Information , 2013, Comput. Graph. Forum.
[26] H. Jensen,et al. Progressive photon mapping , 2008, SIGGRAPH 2008.
[27] Donald P. Greenberg,et al. A radiosity method for non-diffuse environments , 1986, SIGGRAPH.
[28] Mark Meyer,et al. Denoising with kernel prediction and asymmetric loss functions , 2018, ACM Trans. Graph..
[29] Jacopo Pantaleoni,et al. A path space extension for robust light transport simulation , 2012, ACM Trans. Graph..
[30] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Toshiya Hachisuka,et al. Stochastic progressive photon mapping , 2009, ACM Trans. Graph..
[32] Matthias Zwicker,et al. Progressive photon mapping: A probabilistic approach , 2011, TOGS.
[33] James T. Kajiya,et al. The rendering equation , 1986, SIGGRAPH.
[34] Timo Aila,et al. Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder , 2017, ACM Trans. Graph..
[35] Wenzel Jakob,et al. Progressive Expectation‐Maximization for Hierarchical Volumetric Photon Mapping , 2011, EGSR '11.
[36] Kenny Erleben,et al. Photon differentials , 2007, GRAPHITE '07.
[37] Kun Zhou,et al. Irradiance regression for efficient final gathering in global illumination , 2014, Frontiers of Computer Science.
[38] Jaakko Lehtinen,et al. Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering , 2015, Comput. Graph. Forum.
[39] Kalyan Sunkavalli,et al. Deep image-based relighting from optimal sparse samples , 2018, ACM Trans. Graph..
[40] Kalyan Sunkavalli,et al. Deep view synthesis from sparse photometric images , 2019, ACM Trans. Graph..
[41] Toshiya Hachisuka,et al. A progressive error estimation framework for photon density estimation , 2010, ACM Trans. Graph..
[42] Frédo Durand,et al. Fast 4D Sheared Filtering for Interactive Rendering of Distribution Effects , 2015, ACM Trans. Graph..
[43] Pradeep Sen,et al. A machine learning approach for filtering Monte Carlo noise , 2015, ACM Trans. Graph..
[44] Frédo Durand,et al. Frequency analysis and sheared reconstruction for rendering motion blur , 2009, ACM Trans. Graph..
[45] Toshiya Hachisuka,et al. Robust adaptive photon tracing using photon path visibility , 2011, TOGS.
[46] Philipp Slusallek,et al. Bidirectional light transport with vertex merging , 2011, SA '11.
[47] Leonidas J. Guibas,et al. Optimally combining sampling techniques for Monte Carlo rendering , 1995, SIGGRAPH.
[48] Leonidas J. Guibas,et al. Robust Monte Carlo methods for light transport simulation , 1997 .
[49] J. Vorba. Bidirectional Photon Mapping , 2011 .