王璐，山东大学软件学院教授、博士生导师，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。

个人主页：https://wanglusdu.github.io/indexch.html

2018/09-今， 山东大学，软件学院，教授。

2012/01-2018/07， 山东大学，计算机科学与技术学院/软件学院，副教授。

2009/09-2011/12，山东大学，计算机科学与技术学院/软件学院，讲师。

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), 负责人：王璐

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），负责人：王璐

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），负责人：王璐

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), 负责人：王璐

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），负责人：王璐

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）, 负责人：王璐

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）, 负责人：王璐

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), 负责人：王璐

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）, 负责人：王璐

• Xiao Hu , Xiang Xu, JiuXing Zhang , YanNing Xu, Lu Wang*, Perceptual Model for Foveated Rendering With Illuminance Demodulation, IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 12, pp. 10736-10745, Dec. 2025. 

• Youxin Xing, Zheng Zeng, Youyang Du, Lu Wang*, Beibei Wang*, Diffusion-Guided Relighting for Single-Image SVBRDF Estimation, SIGGRAPH Asia 2025. 

• Youyang Du, Lu Wang*, Beibei Wang*, Facial Microscopic Structures Synthesis from a Single Unconstrained Image, SIGGRAPH 2025. 

• Zilin Xu, Xiang Chen, Chen Liu, Beibei Wang, Lu Wang, Zahra Montazeri, Ling-Qi Yan, Towards Comprehensive Neural Materials: Dynamic Structure-Preserving Synthesis with Accurate Silhouette at Instant Inference Speed, SIGGRAPH 2025.

• Xiaolong Wu, Zheng Zeng, Junqiu Zhu*, Lu Wang*, Reshadable Level of Detail Impostors for Fast Distant Objects Rendering, Computer Graphics Forum (Eurographics Symposium on Rendering 2025), 2025.

• Xiaofeng Xu, Lu Wang*, Adaptive Multiple Control Variates for Many-Light Rendering, Eurographics Symposium on Rendering 2025, 2025. 

• Ran Chen, Xiang Xu, KaiYao Ge, Yanning Xu, Xiangxu Meng, Lu Wang*, Real-time neural soft shadow synthesis from hard shadows, Graphical Models, Volume 141, 2025, 101294. 

• Haosen Fu, Mingcong Ma, Junqiu Zhu, Lu Wang, Yanning Xu, Edge-aware denoising framework for real-time mobile ray tracing, Graphical Models, Volume 141, 2025, 101301.

• Sizhe Zhao, Beibei Wang*, Lu Wang*, Nicolas Holzschuch, A discrete microfacet model for transparent glints rendering, Computational Visual Media, vol. 11, no. 5, pp. 953-963, October 2025. 

• Shunkang Xu, Xiang Xu , Yanning Xu, Lu Wang*, Data Parallel Ray Tracing of Massive Scenes based on Neural Proxy, Pacific Graphics 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. 

• Xiang Chen, Lu Wang*, Beibei Wang*, Real-time Neural Woven Fabric Rendering, Proceedings of SIGGRAPH 2024, 2024. 

• Xiaolong Wu, Yanning Xu, Lu Wang*, Stereo-consistent Screen Space Reflection, Computer Graphics Forum (Eurographics Symposium on Rendering 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. 

• Youxin Xing, Haowen Tan, Yanning Xu*, Lu Wang*, A Tiny Example-Based Procedural Model for Real-Time Glinty Appearance Rendering, Journal of Computer Science and Technology (Special Section of CVM 2024), 39(4): 771−784, July 2024. 

• 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.

• 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. 

• 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. 

• 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), 10, 923–936 (2024). 

• 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. 

• 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.

• 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). (SCI, CCF A)

• 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, 2022. (SCI, CCF B)

• 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. （SCI, JCR Q1）

• 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). (SCI, CCF A)

• 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.  

• 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). (SCI, CCF B) 

• 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. (SCI, CCF B)

• 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.(SCI, CCF B)

• 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. (CCF B) 

• 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. (SCI, CCF B)

• 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. (SCI, CCF A)

• Yufei Chai, Yanning Xu*, Maopu Xu, Lu Wang. Two-layer microfacet model with diffraction, Computers & Graphics, 2020, 86: 71-80. (SCI, CCF C)

• 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.（SCI, JCR Q1）

• 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.(SCI, CCF A)

• 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.  (SCI, CCF B)

• 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. (SCI, CCF C)

• Yajie Xu, Lu Wang*, Yanning Xu, Siyuan Qiu, Maopu Xu, Xiangxu Meng*, Cross-device task interaction framework between the smart watch and the smart phone, Personal and Ubiquitous Computing, pp.1-11, 2019.(SCI, CCF C)

• 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. (SCI, CCF B)

• 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. (SCI, CCF C)

• Lu Wang, Laikuan Wong, Yajie Xu, Xiao Zhou, Siyuan Qiu, Xiangxu Meng, Chenglei Yang*. The design and empirical evaluations of 3D positioning techniques for pressure-based touch control on mobile devices. Personal & Ubiquitous Computing,22(3):525-533, June 2018. (SCI, CCF C)

• 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. (SCI, CCF B)

• 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. (SCI, CCF B)