Lu Wang

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.

luwang_hcivr@sdu.edu.cn

1500 ShunHua Road, Jinan, China 250101

中文主页

Publications

2024
	Jia Li, Ziling Chen, Xiaolong Wu, Lu Wang, Beibei Wang, Lei Zhang, Neural Super-Resolution for Real-time Rendering with Radiance Demodulation, CVPR, 2024. [Paper]
	Youxin Xing, Haowen Tan, Yanning Xu, Lu Wang, A Tiny Example-Based Procedural Model for Real-Time Glinty Appearance Rendering, CVM (JCST, to apear), 2024. [Project Page]
	Xiang Xu, Lu Wang, Arsene Perard-Gayot, Richard Membarth, Cuiyu Li, Chenglei Yang, Philipp Slusallek, Temporal Coherence-based Distributed Ray Tracing of Massive Scenes, IEEE TVCG*, Vol. 30, no. 2, pp. 1489-1501, Feb. 2024. [Paper]
2023
	Xiaofeng Xu, Lu Wang, Beibei Wang, Efficient Caustics Rendering via Spatial and Temporal Path Reuse, Computer Graphics Forum (Proceedings of Pacific Graphics 2023), Vol.42, No.7. [Project Page]
	Zheng Zeng, Zilin Xu, Lifan Wu, Lu Wang, Lingqi Yan, Ray-aligned Occupancy Map Array for Fast Approximate Ray Tracing, Computer Graphics Forum (Proceedings of Eurographics Symposium on Rendering 2023)*, Vol.42, Issue 4, July 2023. [Project Page]
	Youxin Xing, Gaole Pan, Xiang Chen, Ji Wu, Lu Wang, Beibei Wang, Real-time All-frequency Global Illumination with Radiance Caching, Computational Visual Media (CVMJ), 2023. [Project Page]
	Yan Zeng, Lu Wang, Yanning Xu, Xiangxu Meng, Neural Temporal Denoising for Indirect Illumination, IEEE TVCG*, vol. 29, no. 12, pp. 5569-5578, Dec. 2023. [Paper]
2022
	Zilin Xu, Zheng Zeng, Lifan Wu, Lu Wang, Lingqi Yan , Lightweight Neural Basis Functions for All-Frequency Shading, SIGGRAPH Asia 2022 Conference Papers (SA '22)*, New York, NY, USA, Article 14, 1–9. [Project Page]
	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), Vol.41, Issue 4, Article 47 (July 2022), 17 pages. [Project Page]
	Haowen Tan, Junqiu Zhu, Yanning Xu, Xiangxu Meng, Lu Wang, Ling-Qi Yan，Real-Time Microstructure Rendering with MIP-mapped Normal Map Samples，Computer Graphics Forum*, Vol.41, Issue 1, Feb.2022, pp.495-506. [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]
2021
	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]
2020
	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.
2019
	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.
2018
	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.