Lu Wang (王璐)

I am a professor in School of Software, Shandong University. I received my Ph.D. degree in the Department of Computer Science and Technology at Shandong University of China in 2009. My research interests include photorealistic rendering, real-time rendering, material appearance modeling, and high-performance rendering.

profile photo

luwang_hcivr@sdu.edu.cn

1500 ShunHua Road, Jinan, China 250101

中文主页


Publications
Junqiu Zhu, Sizhe Zhao, Lu Wang, Yanning Xu, Ling-Qi Yan, Practical Level-of-detail Aggregation of Fur Appearance, ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022). [Project Page]
Haowen Tan, Junqiu Zhu, Yanning Xu*, Xiangxu Meng, Lu Wang, Ling-Qi Yann,Real-Time Microstructure Rendering with MIP-mapped Normal Map Samples,Computer Graphics Forum, 2022. [Paper] [Video]
Junqiu Zhu, Sizhe Zhao, Yanning Xu*, Xiangxu Meng, Lu Wang, Ling-Qi Yan, Recent advances in glinty appearance rendering, Computational Visual Media, 2022, Vol. 8, No. 4, 535–552. [Paper]
Zheng Zeng, Shiqiu (Edward) Liu, Jinglei Yang, Lu Wang, Ling-Qi Yan, Temporally Reliable Motion Vectors for Better Use of Temporal Information, Ray Tracing Gems II: Chapter 25. [Website]
Junqiu Zhu, Yaoyi Bai, Zilin Xu, Steve Bako, Edgar Velázquez-Armendáriz, Lu Wang, Pradeep Sen, Miloš Hašan, Ling-Qi Yan, Neural Complex Luminaires: Representation and Rendering, ACM Transactions on Graphics (Proceedings of SIGGRAPH 2021). [Paper][Video]
Zheng Zeng, Shiqiu (Edward) Liu, Jinglei Yang, Lu Wang*, Ling-Qi Yan*, Temporally Reliable Motion Vectors for Real-time Ray Tracing, Computer Graphics Forum (Proceedings of Eurographics 2021).[Paper] [Video]
Weiheng Lin, Beibei Wang, Jian Yang, Lu Wang, Ling-Qi Yan, Path-based Monte Carlo Denoising Using a Three-Scale Neural Network, Computer Graphics Forum, Dec. 2020. [Paper]
Yulin Liang, Beibei Wang, Lu Wang*. Nicolas Holzschuch, Fast Computation of Single Scattering in Participating Media with Refractive Boundaries using Frequency Analysis, IEEE Transactions on Visualization and Computer Graphics, Vol.26, No. 10, pp. 2961-2969, Oct.1 2020.
Zilin Xu, Qiang Sun, Lu Wang*, Yanning Xu, Beibei Wang, Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering, Computer Graphics Forum (Proceedings of Pacific Graphics 2020), Vol.39, No.7, pp.193-203, Oct. 2020.
Yezi Zhao, Beibei Wang, Yanning Xu*, Zheng Zeng, Lu Wang, Nicolas Holzachuch. Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupevised Generative Adversarial Network. Eurographics Symposium on Rendering (EGSR), 2020.
Zheng Zeng, Lu Wang*, Beibei Wang*, Chunmeng Kang, Yanning Xu. Denoising Stochastic Progressive Photon Mapping Renderings Using a Multi-Residual Network. Journal of Computer Science and Technology, 2020, 35(3):506-521.
Weiheng Lin, Beibei Wang*, Lu Wang*, Nicolas Holzschuch. A Detail Preserving Neural Network Model for Monte Carlo Denoising. Computational Visual Media Journal, 6(2): 157-168, June 2020.
Yufei Chai, Yanning Xu*, Maopu Xu, Lu Wang. Two-layer microfacet model with diffraction, Computers & Graphics, 2020, 86: 71-80.
Liangsheng Ge, Beibei Wang, Lu Wang*, Xiangxu Meng, Nicolas Holzschuch. Interactive Simulation of Scattering Effects in Participating Media Using a Neural Network Model. IEEE Transactions on Visualization and Computer Graphics, December 2019.
Junqiu Zhu, Yanning Xu*, Lu Wang*. A Stationary SVBRDF Material Modeling Method Based on Discrete Microsurface, Computer Graphics Forum (Pacific Graphics 2019), 38(7): 745-754, November 2019.
Xiang Xu, Beibei Wang, Lu Wang*, Yanning Xu, Chenglei Yang, Xiangxu Meng. A Task and Data Balanced Distributed Photon Mapping Method, Computers & Graphics, 82: 214-221, August 2019.
Beibei Wang, Lu Wang, Nicolas Holzschuch. Fast Global Illumination with Discrete Stochastic Microfacets Using a Filterable Model. Computer Graphics Forum (Pacific Graphics 2018), 2018, 37 (7):1-10.
Liangsheng Ge, Beibei Wang, Lu Wang, Nicolas Holzschuch. A Compact Representation for Multiple Scattering in Participating Media using Neural Networks. Siggraph 2018 Talks, Aug 2018, Vancouver, Canada.
Xiang Xu, Beibei Wang, Lu Wang*, Yanning Xu, Tamy Boubekeur. Vectorized Point based Global Illumination on Intel MIC Architecture. Computers & Graphics, 70:206-213, February 2018.
Chun-meng Kang, Lu Wang*, Yan-ning Xu, Xiang-xu Meng, Yuan-jie Song. Adaptive Photon Mapping Based on Gradient, Journal of Computer Science and Technology, 31(1): 217–224, Jan. 2016.
Chun-meng Kang, Lu Wang*, Pei Wang, Yan-ning Xu, Xiangxu Meng. Coherent Photon Mapping on the Intel MIC Architecture, Journal of Computer Science and Technology, 30(3):519-527, May. 2015.

Grants
  • 2023.01-2026.12 National Natural Science Foundation of China (No.62272275) PI
  • 2021.01-2023.12 Natural Science Foundation of Shandong Province (ZR2020LZH016) PI
  • 2020.11-2023.10 National Key R&D Program of China (Project) (2020YFB1709203) PI
  • 2019.01-2022.12 National Natural Science Foundation of China (No.61872223) PI
  • 2017.07-2020.12 National Key R&D Program of China (Sub project) (2017YFB0203002) PI
  • 2015.01-2018.12 National Natural Science Foundation of China (No.61472224) PI
  • 2014.01-2016.12 Shandong Key rsearch and development program (2014ZZCX08201) PI
  • 2011.01-2013.12 National Natural Science Foundation of China (No.61003149) PI
  • 2010.11-2013.11 Natural Science Foundation of Shandong Province (ZR2010FQ011) PI