王璐

山东大学软件学院教授、博士生导师

邮箱：luwang_hcivr@sdu.edu.cn

地址：山东省济南市舜华路1500号，山东大学软件园校区

个人简介

2009年获山东大学计算机科学与技术专业博士学位，2009年起至今受聘于山东大学软件学院。现任人机交互与虚拟现实研究中心副主任，山东大学未来学者。担任中国人工智能学会智能创意与数字艺术专委会副主任、计算机学会计算机辅助设计与图形学专委会委员、中国图学学会动漫图学工程专委会委员、计算机学会人机交互专业组委员。主要研究方向是计算机图形学，包括高度真实感渲染、并行渲染、实时绘制、表观材质建模等。

近年来先后承担、主持国家重点研发计划、国家自然科学基金、山东省自然科学基金重点项目、山东省自主创新及成果转化重大专项等10余项项目。在ACM TOG、SIGGRAPH、IEEE TVCG、CGF、Eurographics、Pacific Graphics、EGSR、CVM等国内外顶级学术刊物与会议上发表论文50余篇，制订“形状建模信息表示”相关国家标准2项。所研发的“RWing高度真实感并行渲染系统”是“神威·太湖之光”十大典型应用之一。

招生意向：软件工程、人工智能 招生类型：硕士（学/专）、博士（学/专）

承担项目

2023.01-2026.12 复杂三维场景高度真实感神经渲染方法研究，国家自然科学基金面上项目(62272275)

2020.11-2023.10 大规模CAD场景可视化技术研究，国家重点研发计划（2020YFB1709203）

2021.01-2023.12 面向人工智能训练的海量数据高性能分布式处理系统，山东省自然科学基金（智慧计算联合基金重点支持项目）（ZR2020LZH016）

2019.01-2022.12 大规模三维场景高度真实感并行绘制技术，国家自然科学基金面上项目(61872223)

2017.07-2020.12 基于动力学的视觉特效并行模拟技术和引擎，国家重点研发计划（2017YFB0203002）

2014.01-2016.12 面向影视动漫行业的渲染系统关键技术研发与应用，山东省自主创新及成果转化专项（2014ZZCX08201）

2015.01-2018.12 基于浮雕绘画元素的立体浅浮雕生成方法研究，国家自然科学基金面上项目（61472224）

2011.01-2013.12 三维人脸混合特征提取和艺术化绘制方法研究，国家自然科学基金(61003149)

2010.11-2013.11几何数据的风格化表示与绘制方法研究，山东省自然科学基金（ZR2010FQ011）

发表文章

2024
	Jia Li, Lu Wang, Lei Zhang, Beibei Wang, TensoSDF: Roughness-aware Tensorial Representation for Robust Geometry and Material Reconstruction, ACM Transactions on Graphics (Proceedings of SIGGRAPH 2024), 2024. [Project Page]
	Xiang Chen, Lu Wang, Beibei Wang, Real-time Neural Woven Fabric Rendering, Proceedings of SIGGRAPH 2024, 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]
	赵烨梓, 王璐, 徐延宁, 曾峥, 葛亮昇, 朱君秋, 徐子林, 赵钰, 孟祥旭. 基于机器学习的三维场景高度真实感绘制方法综述. 软件学报, 2022, 33(1):21. [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.
	王贝贝，王璐，肖懿，王锐. 基于物理的真实感绘制方法研究进展. 中国计算机科学技术进展报告（CCF2018-2019）.
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.