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。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、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

    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