王璐

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。担任计算机学会人机交互专业组委员、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。2014年度获得ACM&CCF济南新星奖,2015年度获得山东大学未来学者称号。

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。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,IEEE TVCG、CGF、JCST等国内外主要学术刊物与会议上发表论文50余篇。参与制订国家标准2项。所研发的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。


工作经历

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。

科研项目

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), 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


主要学术论文




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). (CCF A)[Project Page



3149B7

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. (CCF B) [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]



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). (CCF A)[Paper][Video]




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]  





EE37     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)[Paper] [Video]                                




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)[Paper]




1242B

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) [Paper] [Code]




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) [Paper][Code]




21484

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. [Paper] (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) [Paper]



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.[Paper]



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.[Paper] (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. [Code][Paper] (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)




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. (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)



  



其他成果

地址:山东省济南市舜华路1500号  山东大学软件园校区

邮编:250101