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

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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。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、计算机学会人机交互专业组委员、中国图学学会动漫图学工程专委会委员。主要研究方向是真实感渲染、三维建模、人机交互与虚拟现实等。

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”是国产高性能计算机“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)3-5人、博士(学/专)1-2人


工作经历

  • 2018/09-今, 山东大学,软件学院,教授。
  • 2011/12-2018/08, 山东大学,计算机科学与技术学院/软件学院,副教授。
  • 2009/09-2011/11,山东大学,计算机科学与技术学院/软件学院,讲师。

  • 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)
  • 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)
  • 2020.11-2023.10 大规模CAD场景可视化技术研究,国家重点研发计划课题(2020YFB1709203)
  • 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,国家重点研发计划子课题(2017YFB0203002)
  • 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)
  • 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)
  • 2011.01-2013.12 三维人脸混合特征提取和艺术化绘制方法研究,国家自然科学基金青年项目(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

    2026

    Xiang Chen, Jia Li, Lu Wang*, Beibei Wang*. 3D Gaussian Texture for Real-time Mesoscale Appearance Synthesis and Rendering. ECCV 2026.
    Xiang Chen, Bin Chen, Shouyi Wang, Zahra Montazeri, Ling-Qi Yan, Lu Wang, Junqiu Zhu*. A Real-time, Multiscale and Procedural Feather Appearance Model. ACM Trans. Graph. 45, 4, Article 93 (July 2026), 17 pages.
    Ruike Hu, Junqiu Zhu, Minghao Lin, Ruian Zhang, Lu Wang, Jie Guo, Yanwen Guo, and Lingqi Yan. Efficient Fur and Hair Multiple Scattering Using Volumetric Approximation. ACM Trans. Graph. 45, 4, Article 92 (July 2026), 12 pages.
    Jundan Luo, Xiaolong Wu, Nanxuan Zhao, Lu Wang, Wenbin Li, Christian Richardt, ProjectiveShading: Inserting 3D Objects into Indoor Images with Complex Shadows, Computer Graphics Forum (Eurographics 2026 ), 2026, e70320. [Project Page]
    Qi Zheng, Yanning Xu*, Lu Wang, A Hybrid Pipeline for Large-Scale PCB Modeling, CVM 2026. [Paper] [Code]
    Xiang Xu, Huiyu Li, Linwei Fan, Lu Wang*, Dynamic Scheduling for Data-parallel Path Tracing of Large-scale Instanced Scenes, IEEE Transactions on Visualization and Computer Graphics, vol. 32, no. 7, pp. 5049-5060, July 2026. [Paper]
    Yingqun Li, Xiang Xu, Gaoyuan Wang, Yanning Xu*, Lu Wang*, Neural Reconstruction and Super-Resolution for Foveated Real-Time Rendering, Computational Visual Media, vol. 12, no. 2, pp. 337-353, April 2026. [Paper]

    2025

    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. [Paper]
    Youxin Xing, Zheng Zeng, Youyang Du, Lu Wang*, Beibei Wang*, Diffusion-Guided Relighting for Single-Image SVBRDF Estimation, SIGGRAPH Asia 2025. [Project Page]
    Youyang Du, Lu Wang*, Beibei Wang*, Facial Microscopic Structures Synthesis from a Single Unconstrained Image, SIGGRAPH 2025. [Project Page]
    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. [Project Page]
    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. [Project Page]
    Xiaofeng Xu, Lu Wang*, Adaptive Multiple Control Variates for Many-Light Rendering, Eurographics Symposium on Rendering 2025, 2025. [Project Page]
    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. [Paper]
    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. [Paper]
    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. [Paper]

    2024

    Shunkang Xu, Xiang Xu , Yanning Xu, Lu Wang*, Data Parallel Ray Tracing of Massive Scenes based on Neural Proxy, Pacific Graphics 2024 . [Paper][Code]
    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. [Project Page]
    Xiaolong Wu, Yanning Xu, Lu Wang*, Stereo-consistent Screen Space Reflection, Computer Graphics Forum (Eurographics Symposium on Rendering 2024), 2024. [Project Page]
    Jia Li, Ziling Chen, Xiaolong Wu, Lu Wang*, Beibei Wang*, Lei Zhang, Neural Super-Resolution for Real-time Rendering with Radiance Demodulation, CVPR, 2024. [Project Page]
    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. [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), 10, 923–936 (2024). [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).
    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

    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.
    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.

    2017 Before

    Wei Gai, Chenglei Yang, Yulong Bian, Chia Shen, Xiangxu Meng, Lu Wang, Juan Liu, Mingda Dong, Chengjie Niu, Cheng Lin, Supporting Easy Physical-to-Virtual Creation of Mobile VR Maze Games: A New Genre, CHI Conference on Human Factors in Computing Systems, ACM, 2017:5016-5028.
    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.
    Liming Lou, Lu Wang*, Xiangxu Meng, Stylized strokes for coherent line drawings, Journal of Computational Visual Media, 1(1):79-89, March 2015.
    Qiong Zeng , Ralph R. Martin , Lu Wang, Jonathan A. Quinn , Yuhong Sun , Changhe Tu*, Region-based Bas-relief Generation from a Single Image, Graphical Models(GMOD) , 76(3):140-151, 2014.
    Lu Wang, Tiow-Seng Tan, Chi-Wan Lim, Xiang-Xu Meng, Cheng Du, Zhen-fang Ji, Efficient Implementation of Point Set Reconstruction by Multi-Layer Peeling Algorithm, Computers & Graphics, 35(2):208-217, 2011 April.
    Lu Wang, Changhe Tu*, Wenping Wang, Xiangxu Meng, Bin Chan and Dongming Yan, Silhouette smoothing for real-time rendering of mesh surfaces, IEEE Transactions on Visualization and Computer Graphics, 14(3): 640-652,2008.

    获奖

  • 大规模CAD场景高度真实感渲染技术,山东计算机学会科学技术奖(自然科学奖),一等奖,山东大学,王璐、孟祥旭、徐延宁,2024
  • 编写教材

  • 《人机交互基础教程(第3版)》,作者:孟祥旭、李学庆、杨承磊、王璐,出版社:清华大学出版社,ISBN:978-7-302-42745-2。普通高等教育“十一五”国家级规划教材、21世纪高等学校计算机专业核心课程规划教材,获清华大学出版社畅销图书,获清华大学出版社科技类最受高校欢迎教材奖。
  • 制定标准

  • 信息技术 形状建模信息表示 第2部分:特征约束,中华人民共和国国家标准,GB/T36341.2-2018,2018年6月7日发布,2019年1月1日实施。
  • 信息技术 形状建模信息表示 第4部分:存储格式,中华人民共和国国家标准,GB/T36341.4-2018,2018年6月7日发布,2019年1月1日实施。
  • 学术报告

  • 2024.10.12 Chinagraph 2024“渲染与逆向渲染”技术论坛,报告题目:大规模场景和复杂场景高效渲染技术
  • 2024.09.25 CCF TCVRV专委会走进高校第13期——走进中国矿业大学专题活动,报告题目:面向元宇宙应用的三维场景高逼真实时渲染技术
  • 2024.08.07 2024CCF图形学启明星计划夏令营,报告题目:实时渲染方法
  • 2024.03.08 中国人工智能学会-2024人工智能女性菁英论坛-智能理论与算法专题论坛,报告题目:面向工业设计的复杂三维场景表示与渲染方法
  • 2022.07.06 2022年(第十届)中国科学技术大学《计算机图形学》暑期课程,报告题目:复杂虚拟世界高效表示和逼真渲染
  • 2021.11.26 CSIG菁英青云论坛第13期,报告题目:基于机器学习的高度真实感渲染