“Efficient Light Probes for Real-Time Global Illumination” by Guo, Zong, Song, Fu, Tao, et al. …
Conference:
Type(s):
Title:
- Efficient Light Probes for Real-Time Global Illumination
Session/Category Title: Radiance Fields, Bases, and Probes
Presenter(s)/Author(s):
Abstract:
Reproducing physically-based global illumination (GI) effects has been a long-standing demand for many real-time graphical applications. In pursuit of this goal, many recent engines resort to some form of light probes baked in a precomputation stage. Unfortunately, the GI effects stemming from the precomputed probes are rather limited due to the constraints in the probe storage, representation or query. In this paper, we propose a new method for probe-based GI rendering which can generate a wide range of GI effects, including glossy reflection with multiple bounces, in complex scenes. The key contributions behind our work include a gradient-based search algorithm and a neural image reconstruction method. The search algorithm is designed to reproject the probes’ contents to any query viewpoint, without introducing parallax errors, and converges fast to the optimal solution. The neural image reconstruction method, based on a dedicated neural network and several G-buffers, tries to recover high-quality images from low-quality inputs due to limited resolution or (potential) low sampling rate of the probes. This neural method makes the generation of light probes efficient. Moreover, a temporal reprojection strategy and a temporal loss are employed to improve temporal stability for animation sequences. The whole pipeline runs in realtime (>30 frames per second) even for high-resolution (1920×1080) outputs, thanks to the fast convergence rate of the gradient-based search algorithm and a light-weight design of the neural network. Extensive experiments on multiple complex scenes have been conducted to show the superiority of our method over the state-of-the-arts.
References:
1. Steve Bako, Thijs Vogels, Brian Mcwilliams, Mark Meyer, Jan NováK, Alex Harvill, Pradeep Sen, Tony Derose, and Fabrice Rousselle. 2017. Kernel-predicting Convolutional Networks for Denoising Monte Carlo Renderings. ACM Trans. Graph. 36, 4 (July 2017), 97:1–97:14.
2. Nir Benty, Kai-Hwa Yao, Petrik Clarberg, Lucy Chen, Simon Kallweit, Tim Foley, Matthew Oakes, Conor Lavelle, and Chris Wyman. 2020. The Falcor Rendering Framework. https://github.com/NVIDIAGameWorks/Falcor https://github.com/NVIDIAGameWorks/Falcor.
3. Benedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley, Aaron Lefohn, and Wojciech Jarosz. 2020. Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 39, 4 (July 2020).
4. James F. Blinn and Martin E. Newell. 1976. Texture and Reflection in Computer Generated Images. Commun. ACM 19, 10 (oct 1976), 542–547.
5. Sebastien Bonopera, Peter Hedman, Jerome Esnault, Siddhant Prakash, Simon Rodriguez, Theo Thonat, Mehdi Benadel, Gaurav Chaurasia, Julien Philip, and George Drettakis. 2020. sibr: A System for Image Based Rendering. https://gitlab.inria.fr/sibr/sibr_core
6. Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen. 2001. Unstructured Lumigraph Rendering. In Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’01). Association for Computing Machinery, New York, NY, USA, 425–432.
7. John Burgess. 2020. RTX on the NVIDIA Turing GPU. IEEE Micro 40, 2 (2020), 36–44.
8. Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, Christoph Schied, Marco Salvi, Aaron Lefohn, Derek Nowrouzezahrai, and Timo Aila. 2017. Interactive Reconstruction of Monte Carlo Image Sequences Using a Recurrent Denoising Autoencoder. ACM Trans. Graph. 36, 4, Article 98 (jul 2017), 12 pages.
9. Gaurav Chaurasia, Sylvain Duchene, Olga Sorkine-Hornung, and George Drettakis. 2013. Depth Synthesis and Local Warps for Plausible Image-Based Navigation. ACM Trans. Graph. 32, 3, Article 30 (jul 2013), 12 pages.
10. Min Chen and James Arvo. 2000a. Perturbation methods for interactive specular reflections. IEEE Transactions on Visualization and Computer Graphics 6, 3 (2000), 253–264.
11. Min Chen and James Arvo. 2000b. Theory and Application of Specular Path Perturbation. ACM Trans. Graph. 19, 4 (oct 2000), 246–278.
12. Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, and Jingyi Yu. 2020. A Neural Rendering Framework for Free-Viewpoint Relighting. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5598–5609.
13. Zina H. Cigolle, Sam Donow, Daniel Evangelakos, Michael Mara, Morgan McGuire, and Quirin Meyer. 2014. A Survey of Efficient Representations for Independent Unit Vectors. Journal of Computer Graphics Techniques (JCGT) 3, 2 (17 April 2014), 1–30.
14. Robert Cupisz. 2012. Light Probe Interpolation using Tetrahedral Tessellations. Game Developers Conference.
15. R. R. Currius, D. Dolonius, U. Assarsson, and E. Sintorn. 2020. Spherical Gaussian Light-field Textures for Fast Precomputed Global Illumination. Computer Graphics Forum 39, 2 (2020), 133–146.
16. Paul Debevec, Yizhou Yu, and George Borshukov. 1998. Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping. In Rendering Techniques ’98. Springer Vienna, Vienna, 105–116.
17. Paul E. Debevec, Camillo J. Taylor, and Jitendra Malik. 1996. Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach. In Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’96). Association for Computing Machinery, New York, NY, USA, 11–20.
18. Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, and Adrien Bousseau. 2018. Single-Image SVBRDF Capture with a Rendering-Aware Deep Network. ACM Trans. Graph. 37, 4, Article 128 (July 2018), 15 pages.
19. Yue Dong. 2019. Deep appearance modeling: A survey. Visual Informatics 3, 2 (2019), 59–68.
20. Renaud Adrien Dubouchet, Laurent Belcour, and Derek Nowrouzezahrai. 2017. Frequency Based Radiance Cache for Rendering Animations. In Eurographics Symposium on Rendering – Experimental Ideas & Implementations, Matthias Zwicker and Pedro Sander (Eds.). The Eurographics Association.
21. S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S. Morcos, Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor, David P. Reichert, Lars Buesing, Theophane Weber, Oriol Vinyals, Dan Rosenbaum, Neil Rabinowitz, Helen King, Chloe Hillier, Matt Botvinick, Daan Wierstra, Koray Kavukcuoglu, and Demis Hassabis. 2018. Neural scene representation and rendering. Science 360, 6394 (2018), 1204–1210.
22. Hangming Fan, Rui Wang, Yuchi Huo, and Hujun Bao. 2021. Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network. Computer Graphics Forum 40, 4 (2021), 15–27.
23. John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker. 2019. DeepView: View Synthesis With Learned Gradient Descent. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2362–2371.
24. Duan Gao, Guojun Chen, Yue Dong, Pieter Peers, Kun Xu, and Xin Tong. 2020. Deferred Neural Lighting: Free-Viewpoint Relighting from Unstructured Photographs. ACM Trans. Graph. 39, 6, Article 258 (nov 2020), 15 pages.
25. Duan Gao, Xiao Li, Yue Dong, Pieter Peers, Kun Xu, and Xin Tong. 2019. Deep Inverse Rendering for High-Resolution SVBRDF Estimation from an Arbitrary Number of Images. ACM Trans. Graph. 38, 4, Article 134 (July 2019), 15 pages.
26. Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Proceedings of the 27th International Conference on Neural Information Processing Systems – Volume 2 (Montreal, Canada) (NIPS’14). MIT Press, Cambridge, MA, USA, 2672–2680.
27. Jonathan Granskog, Fabrice Rousselle, Marios Papas, and Jan Novák. 2020. Compositional Neural Scene Representations for Shading Inference. ACM Trans. Graph. 39, 4, Article 135 (July 2020), 13 pages.
28. Gene Greger, Peter Shirley, Philip M. Hubbard, and Donald P. Greenberg. 1998. The Irradiance Volume. IEEE Comput. Graph. Appl. 18, 2 (mar 1998), 32–43.
29. Jie Guo, Xihao Fu, Liqiang Lin, Hengjun Ma, Yanwen Guo, Shiqiu Liu, and Ling-Qi Yan. 2021a. ExtraNet: Real-Time Extrapolated Rendering for Low-Latency Temporal Supersampling. ACM Trans. Graph. 40, 6, Article 278 (dec 2021), 16 pages.
30. Jie Guo, Shuichang Lai, Chengzhi Tao, Yuelong Cai, Lei Wang, Yanwen Guo, and Ling-Qi Yan. 2021b. Highlight-Aware Two-Stream Network for Single-Image SVBRDF Acquisition. ACM Trans. Graph. 40, 4, Article 123 (jul 2021), 14 pages.
31. Jie Guo, Mengtian Li, Quewei Li, Yuting Qiang, Bingyang Hu, Yanwen Guo, and Ling-Qi Yan. 2019. GradNet: Unsupervised Deep Screened Poisson Reconstruction for Gradient-Domain Rendering. ACM Trans. Graph. 38, 6, Article 223 (nov 2019), 13 pages.
32. Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, and Shuang Zhao. 2020. MaterialGAN: Reflectance Capture Using a Generative SVBRDF Model. ACM Trans. Graph. 39, 6, Article 254 (Nov. 2020), 13 pages.
33. Saeed Hadadan, Shuhong Chen, and Matthias Zwicker. 2021. Neural Radiosity. ACM Trans. Graph. 40, 6, Article 236 (dec 2021), 11 pages.
34. Takahiro Harada. 2020. Hardware-Accelerated Ray Tracing in AMD Radeon ProRender 2.0. https://gpuopen.com/learn/radeon-prorender-2-0/.
35. John T. Hooker. 2016. Volumetric Global Illumination at Treyarch. In Advances in real-time rendering, part I. ACM SIGGRAPH 2016 Courses.
36. Jinkai Hu, Milo K. Yip, Guillermo Elias Alonso, Shihao Gu, Xiangjun Tang, and Xiaogang Jin. 2021. Efficient real-time dynamic diffuse global illumination using signed distance fields. Vis. Comput. 37, 9 (2021), 2539–2551.
37. Wenzel Jakob. 2010. Mitsuba renderer. http://www.mitsuba-renderer.org.
38. Wojciech Jarosz, Craig Donner, Matthias Zwicker, and Henrik Wann Jensen. 2008. Radiance Caching for Participating Media. ACM Trans. Graph. 27, 1, Article 7 (mar 2008), 11 pages.
39. Giulio Jiang and Bernhard Kainz. 2021. Deep radiance caching: Convolutional autoen-coders deeper in ray tracing. Computers & Graphics 94 (2021), 22–31.
40. James T. Kajiya. 1986. The Rendering Equation. SIGGRAPH Comput. Graph. 20, 4 (aug 1986), 143–150.
41. Jan Kautz, Pere-Pau Vázquez, Wolfgang Heidrich, and Hans-Peter Seidel. 2000. A Unified Approach to Prefiltered Environment Maps. In Rendering Techniques 2000. Springer Vienna, Vienna, 185–196.
42. Matias Koskela, Kalle Immonen, Markku Mäkitalo, Alessandro Foi, Timo Viitanen, Pekka Jääskeläinen, Heikki Kultala, and Jarmo Takala. 2019. Blockwise Multi-Order Feature Regression for Real-Time Path-Tracing Reconstruction. ACM Trans. Graph. 38, 5, Article 138 (June 2019), 14 pages.
43. Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli, and Josh Tenenbaum. 2015. Deep Convolutional Inverse Graphics Network. In Advances in Neural Information Processing Systems, Vol. 28. Curran Associates, Inc.
44. Jaroslav Křivánek, Pascal Gautron, Sumanta N. Pattanaik, and Kadi Bouatouch. 2005. Radiance caching for efficient global illumination computation. IEEE Transactions on Visualization and Computer Graphics 11, 5 (2005), 550–561.
45. Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh. 2019. Neural Volumes: Learning Dynamic Renderable Volumes from Images. ACM Trans. Graph. 38, 4, Article 65 (jul 2019), 14 pages.
46. Zander Majercik, Jean-Philippe Guertin, Derek Nowrouzezahrai, and Morgan McGuire. 2019. Dynamic Diffuse Global Illumination with Ray-Traced Irradiance Fields. Journal of Computer Graphics Techniques (JCGT) 8, 2 (5 June 2019), 1–30. http://jcgt.org/published/0008/02/01/
47. Zander Majercik, Adam Marrs, Josef Spjut, and Morgan McGuire. 2021. Scaling Probe-Based Real-Time Dynamic Global Illumination for Production. Journal of Computer Graphics Techniques (JCGT) 10, 2 (3 May 2021), 1–29. http://jcgt.org/published/0010/02/01/
48. Julio Marco, Adrian Jarabo, Wojciech Jarosz, and Diego Gutierrez. 2018. Second-Order Occlusion-Aware Volumetric Radiance Caching. ACM Trans. Graph. 37, 2, Article 20 (jul 2018), 14 pages.
49. Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth. 2021. NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. In CVPR.
50. Morgan McGuire, Mike Mara, Derek Nowrouzezahrai, and David Luebke. 2017. Real-Time Global Illumination Using Precomputed Light Field Probes. In Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (San Francisco, California) (I3D ’17). Association for Computing Machinery, New York, NY, USA, Article 2, 11 pages.
51. Xiaoxu Meng, Quan Zheng, Amitabh Varshney, Gurprit Singh, and Matthias Zwicker. 2020. Real-time Monte Carlo Denoising with the Neural Bilateral Grid. In Eurographics Symposium on Rendering – DL-only Track, Carsten Dachsbacher and Matt Pharr (Eds.). The Eurographics Association.
52. Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar. 2019. Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines. ACM Trans. Graph. 38, 4, Article 29 (jul 2019), 14 pages.
53. Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In Computer Vision – ECCV 2020. Springer International Publishing, Cham, 405–421.
54. Thomas Müller, Fabrice Rousselle, Jan Novák, and Alexander Keller. 2021. Real-Time Neural Radiance Caching for Path Tracing. ACM Trans. Graph. 40, 4, Article 36 (jul 2021), 16 pages.
55. O. Nalbach, E. Arabadzhiyska, D. Mehta, H.-P. Seidel, and T. Ritschel. 2017. Deep Shading: Convolutional Neural Networks for Screen Space Shading. Computer Graphics Forum 36, 4 (2017), 65–78.
56. Eyal Ofek and Ari Rappoport. 1998. Interactive Reflections on Curved Objects. In Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’98). Association for Computing Machinery, New York, NY, USA, 333–342.
57. Yaobin Ouyang, Shiqiu Liu, Markus Kettunen, Matt Pharr, and Jacopo Pantaleoni. 2021. ReSTIR GI: Path Resampling for Real-Time Path Tracing. Computer Graphics Forum (2021).
58. Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu. 2019. Semantic image synthesis with spatially-adaptive normalization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2337–2346.
59. Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems, H. Wallach, H. Larochelle, A. Beygelzimer, F. d’Alché-Buc, E. Fox, and R. Garnett (Eds.), Vol. 32. Curran Associates, Inc.
60. Julien Philip, Michaël Gharbi, Tinghui Zhou, Alexei Efros, and George Drettakis. 2019. Multi-view Relighting Using a Geometry-Aware Network. ACM Transactions on Graphics (SIGGRAPH Conference Proceedings) 38, 4 (July 2019).
61. Ravi Ramamoorthi. 2009. Precomputation-Based Rendering. Found. Trends. Comput. Graph. Vis. 3, 4 (apr 2009), 281–369.
62. René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun. 2021. Vision Transformers for Dense Prediction. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). 12179–12188.
63. Peiran Ren, Jiaping Wang, Minmin Gong, Stephen Lin, Xin Tong, and Baining Guo. 2013. Global Illumination with Radiance Regression Functions. ACM Trans. Graph. 32, 4, Article 130 (jul 2013), 12 pages.
64. Austin Robison and Peter Shirley. 2009. Image space gathering. In High Performance Graphics 2009. 91–98.
65. Simon Rodriguez, Thomas Leimkühler, Siddhant Prakash, Chris Wyman, Peter Shirley, and George Drettakis. 2020. Glossy Probe Reprojection for Interactive Global Illumination. ACM Trans. Graph. 39, 6, Article 237 (nov 2020), 16 pages.
66. David Roger and Nicolas Holzschuch. 2006. Accurate Specular Reflections in Real-Time. Computer Graphics Forum 25, 3 (Sept. 2006), 293–302. https://hal.inria.fr/inria-00379310
67. Matt Sandy, Johan Andersson, and Colin Barré-Brisebois. 2018. DirectX: Evolving Microsoft’s Graphics Platform. Game Developers Conference 2018.
68. Daniel Scherzer, Lei Yang, Oliver Mattausch, Diego Nehab, Pedro V. Sander, Michael Wimmer, and Elmar Eisemann. 2012. Temporal Coherence Methods in Real-Time Rendering. Comput. Graph. Forum 31, 8 (dec 2012), 2378–2408.
69. Christoph Schied, Anton Kaplanyan, Chris Wyman, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher, Aaron Lefohn, and Marco Salvi. 2017. Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global Illumination. In Proceedings of High Performance Graphics (HPG ’17). Association for Computing Machinery, New York, NY, USA, Article 2, 12 pages.
70. Dario Seyb, Peter-Pike Sloan, Ari Silvennoinen, Michał Iwanicki, and Wojciech Jarosz. 2020. The Design and Evolution of the UberBake Light Baking System. ACM Trans. Graph. 39, 4, Article 150 (jul 2020), 13 pages.
71. Ari Silvennoinen and Jaakko Lehtinen. 2017. Real-Time Global Illumination by Pre-computed Local Reconstruction from Sparse Radiance Probes. ACM Trans. Graph. 36, 6, Article 230 (nov 2017), 13 pages.
72. Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014).
73. Sudipta N. Sinha, Drew Steedly, and Richard Szeliski. 2009. Piecewise planar stereo for image-based rendering. In 2009 IEEE 12th International Conference on Computer Vision. 1881–1888.
74. Vincent Sitzmann, Michael Zollhoefer, and Gordon Wetzstein. 2019. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In Advances in Neural Information Processing Systems, Vol. 32. Curran Associates, Inc.
75. Peter-Pike Sloan, Jan Kautz, and John Snyder. 2002. Precomputed Radiance Transfer for Real-Time Rendering in Dynamic, Low-Frequency Lighting Environments. ACM Trans. Graph. 21, 3 (jul 2002), 527–536.
76. László Szirmay-Kalos, Barnabás Aszódi, István Lazányi, and Mátyás Premecz. 2005. Approximate Ray-Tracing on the GPU with Distance Impostors. Computer Graphics Forum 24, 3 (2005), 695–704.
77. László Szirmay-Kalos, Tamás Umenhoffer, Gustavo Patow, László Szécsi, and Mateu Sbert. 2009. Specular Effects on the GPU: State of the Art. Computer Graphics Forum 28, 6 (2009), 1586–1617.
78. Natalya Tatarchuk. 2005. Irradiance Volumes for Games. Game Developers Conference.
79. A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman, and M. Zollhöfer. 2020. State of the Art on Neural Rendering. Computer Graphics Forum 39, 2 (2020), 701–727.
80. Justus Thies, Michael Zollhöfer, and Matthias Nießner. 2019. Deferred Neural Rendering: Image Synthesis Using Neural Textures. ACM Trans. Graph. 38, 4, Article 66 (jul 2019), 12 pages.
81. Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky. 2018. Deep Image Prior. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
82. Kostas Vardis, Georgios Papaioannou, and Anastasios Gkaravelis. 2014. Real-time Radiance Caching using Chrominance Compression. Journal of Computer Graphics Techniques (JCGT) 3, 4 (16 December 2014), 111–131.
83. Konstantinos Vardis, Andreas Alexandros Vasilakis, and Georgios Papaioannou. 2021. Illumination-driven Light Probe Placement. In Eurographics 2021 Posters, Jirí Bittner and Manuela Waldner (Eds.). The Eurographics Association.
84. Thijs Vogels, Fabrice Rousselle, Brian Mcwilliams, Gerhard Röthlin, Alex Harvill, David Adler, Mark Meyer, and Jan Novák. 2018. Denoising with Kernel Prediction and Asymmetric Loss Functions. ACM Trans. Graph. 37, 4 (July 2018), 124:1–124:15.
85. Yue Wang, Soufiane Khiat, Paul G. Kry, and Derek Nowrouzezahrai. 2019. Fast Non-Uniform Radiance Probe Placement and Tracing. In Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (Montreal, Quebec, Canada) (I3D ’19). Association for Computing Machinery, New York, NY, USA, Article 5, 9 pages.
86. Daniel N. Wood, Daniel I. Azuma, Ken Aldinger, Brian Curless, Tom Duchamp, David H. Salesin, and Werner Stuetzle. 2000. Surface Light Fields for 3D Photography. In Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’00). ACM Press/Addison-Wesley Publishing Co., USA, 287–296.
87. Lei Xiao, Salah Nouri, Matt Chapman, Alexander Fix, Douglas Lanman, and Anton Kaplanyan. 2020. Neural Supersampling for Real-Time Rendering. ACM Trans. Graph. 39, 4, Article 142 (jul 2020), 12 pages.
88. Kun Xu, Yan-Pei Cao, Li-Qian Ma, Zhao Dong, Rui Wang, and Shi-Min Hu. 2014. A Practical Algorithm for Rendering Interreflections with All-Frequency BRDFs. ACM Trans. Graph. 33, 1, Article 10 (feb 2014), 16 pages.
89. Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, and Ravi Ramamoorthi. 2019. Deep View Synthesis from Sparse Photometric Images. ACM Trans. Graph. 38, 4, Article 76 (jul 2019), 13 pages.
90. Zexiang Xu, Kalyan Sunkavalli, Sunil Hadap, and Ravi Ramamoorthi. 2018. Deep image-based relighting from optimal sparse samples. ACM Transactions on Graphics (TOG) 37, 4 (2018), 126.
91. Lei Yang, Shiqiu Liu, and Marco Salvi. 2020. A Survey of Temporal Antialiasing Techniques. Computer Graphics Forum (2020).
92. Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018. The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE conference on computer vision and pattern recognition. 586–595.
93. Xiuming Zhang, Sean Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul Debevec, Jonathan T. Barron, Ravi Ramamoorthi, and William T. Freeman. 2021a. Neural Light Transport for Relighting and View Synthesis. ACM Trans. Graph. 40, 1, Article 9 (jan 2021), 17 pages.
94. Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul Debevec, William T. Freeman, and Jonathan T. Barron. 2021b. NeRFactor: Neural Factorization of Shape and Reflectance under an Unknown Illumination. ACM Trans. Graph. 40, 6, Article 237 (dec 2021), 18 pages.
95. Yangyang Zhao, Laurent Belcour, and Derek Nowrouzezahrai. 2019. View-Dependent Radiance Caching. In Proceedings of the 45th Graphics Interface Conference on Proceedings of Graphics Interface 2019 (Kingston, Canada) (GI’19). Canadian Human-Computer Communications Society, Waterloo, CAN, Article 22, 9 pages.
96. Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely. 2018a. Stereo Magnification: Learning View Synthesis Using Multiplane Images. ACM Trans. Graph. 37, 4, Article 65 (jul 2018), 12 pages.
97. Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, and Hui Huang. 2018b. Non-stationary Texture Synthesis by Adversarial Expansion. ACM Transactions on Graphics (Proc. SIGGRAPH) 37, 4 (2018), 49:1–49:13.
98. Tao Zhuang, Pengfei Shen, Beibei Wang, and Ligang Liu. 2021. Real-time Denoising Using BRDF Pre-integration Factorization. Computer Graphics Forum 40, 7 (2021), 173–180.
