Hongzhi Wu
Address: B425 Mengminwei Bldg.
Zijingang Campus
Zhejiang University
866 Yuhangtang Rd.
Hangzhou, 310058, China
Email: hwu at acm dot org

I am an associate professor (副教授/博导) in the State Key Lab of CAD&CG, Zhejiang University. I am also a recipient of Excellent Young Scholars (国家优青), NSF-China. My research interest includes appearance acquisition / modeling / design / rendering and recently applied deep learning in computer graphics / vision.

I received my Ph.D. from Dept. of Computer Science, Yale University, under the supervision by Prof. Julie Dorsey and Prof. Holly Rushmeier. Prior to that, I obtained my B.Sc. from Dept. of Computer Science and Engineering, Fudan University. I was also a visiting student in Internet Graphics Group at Microsoft Research Asia.


To Prospective Students (国内学生)

I leverage the knowledge from multiple fields to solve challenging problems in computer graphics / vision. This involves a lot of different cool things, including software & hardware programming, and mechanical design. I am looking for talented students with a strong background in one or more of the following fields:
1. Computer Graphics and Vision.
2. Deep Learning.
3. Mechanics / Robotics.
4. Optics.

I am open to various ways of engaging in my lab, from being an advisor for your master / PhD study, to a research advisor for your undergraduate study, or just doing a summer intern. Please drop me an email to schedule a meeting, if you are interested in working with me.


Computer Graphics (2015-F, 2016-S/F, 2017-S/F, 2018-S/F, 2019-F, 2020-F, 2021-F)

Intelligent Acquisition of Visual Information (2019-F, 2020-F, 2021-F)

For students who are unable to register my course due to limited capacity, please make sure that you select the course in the second round of registration (补选) and see me in the first class. Please register the course according to your curriculum (培养计划). For computer science major, please take the course when you are at least a junior student (大三), as this course requires the knowledge from a variety of fundamental courses.


Selected Publications

       Neural Reflectance Capture in the View-Illumination Domain
Kaizhang Kang, Minyi Gu, Cihui Xie, Xuanda Yang*, Hongzhi Wu+ and Kun Zhou
To appear in IEEE TVCG.
[Preprint(.PDF), 6.5MB] [Video: Youtube/Bilibili] [IEEE Xplore]
+:corresponding author.
*:(who) was an undergraduate student when working on this project.
       Learning Efficient Photometric Feature Transform for Multi-view Stereo
Kaizhang Kang, Cihui Xie, Ruisheng Zhu, Xiaohe Ma, Ping Tan, Hongzhi Wu+ and Kun Zhou
To appear in ICCV 2021.
[Project Page]
+:corresponding author.
       Free-form Scanning of Non-planar Appearance with Neural Trace Photography
Xiaohe Ma, Kaizhang Kang, Ruisheng Zhu, Hongzhi Wu+ and Kun Zhou
ACM Trans. Graph. (Proc. SIGGRAPH 2021), 40, 4 (Aug. 2021), 124.
[Project Page]
+:corresponding author.
       Differentiable Rendering: A Survey (in Chinese) / 可微绘制技术研究进展
Weiwei Xu, Yang Zhou, Hongzhi Wu and Jie Guo
Journal of Image and Graphics, 26, 6 (2021).
       Learning Efficient Illumination Multiplexing for Joint Capture of Reflectance and Shape
Kaizhang Kang, Cihui Xie, Chengan He*, Mingqi Yi*, Minyi Gu, Zimin Chen, Kun Zhou and Hongzhi Wu
ACM Trans. Graph. (Proc. SIGGRAPH Asia 2019), 38, 6 (Nov. 2019), 165.
(Selected as a back-cover image)
[Project Page]
*:(who) were undergraduate students when working on this project.
       Efficient Reflectance Capture Using an Autoencoder
Kaizhang Kang*, Zimin Chen*, Jiaping Wang, Kun Zhou and Hongzhi Wu
ACM Trans. Graph. (Proc. SIGGRAPH 2018), 37, 4 (Aug. 2018), 127.
[Project Page]
Patent# ZL201810623164.8.
2nd Place in ACM Student Research Competition, Undergraduate Group.
*:Joint first authors, both of whom were undergraduate students when working on this project.  
  Modeling Hair from an RGB-D Camera
Meng Zhang, Pan Wu, Hongzhi Wu, Yanlin Weng, Youyi Zheng and Kun Zhou
ACM Trans. Graph. (Proc. SIGGRAPH Asia 2018), 205.
[ACM Digital Library]
  A Data-driven Approach to Four-view Image-based Hair Modeling
Meng Zhang, Menglei Chai, Hongzhi Wu, Hao Yang and Kun Zhou
ACM Trans. Graph. (Proc. SIGGRAPH 2017), 36, 4 (Jul. 2017), 156.
[Paper(.PDF), 1.7MB][Video(.MP4),47.7MB]
  Intrinsic Light Field Images
Elena Garces, Jose I. Echevarria, Wen Zhang, Hongzhi Wu, Kun Zhou and Diego Gutierrez
Computer Graphics Forum, 36(8), 589-599, Dec. 2017.
Simultaneous Acquisition of Microscale Reflectance and Normals
Giljoo Nam, Joo Ho Lee, Hongzhi Wu, Diego Gutierrez and Min H. Kim
ACM Trans. Graph. (Proc. SIGGRAPH Asia 2016), 35, 6 (Nov. 2016), 185.
[Paper(.PDF), 17.8MB][Video(.MOV), 36.0MB][Supp. Material #1(.PDF), 0.3MB][Supp. Material #2(.PDF), 46.8MB][Bibtex][Project Page]
AutoHair: Fully Automatic Hair Modeling from a Single Image
Menglei Chai, Tianjia Shao, Hongzhi Wu, Yanlin Weng and Kun Zhou
ACM Trans. Graph. (Proc. SIGGRAPH 2016), 35, 4 (Jul. 2016), 116.
[Paper(.PDF), 12.4MB][Video(.MP4), 118MB]
Real-time Facial Animation with Image-based Dynamic Avatars
Chen Cao, Hongzhi Wu, Yanlin Weng, Tianjia Shao and Kun Zhou
ACM Trans. Graph. (Proc. SIGGRAPH 2016), 35, 4 (Jul. 2016), 126.
[Paper(.PDF), 12.0MB][Video(.MP4), 172MB]
Simultaneous Localization and Appearance Estimation with a Consumer RGB-D Camera
Hongzhi Wu, Zhaotian Wang and Kun Zhou
IEEE TVCG, 22, 8(Aug. 2016), 2012-2023.
Presented at SIGGRAPH Asia 2016 and Graphics Interface 2016.
[Project Page]
Patent# CN104866861, Jan. 2018.
Shape Completion from a Single RGBD Image
Dongping Li, Tianjia Shao, Hongzhi Wu and Kun Zhou
IEEE TVCG, 23, 7(Jul. 2017), 1809-1822.
[Slides(.PPSX), 20.4MB]
Stress Constrained Thickness Optimization for Shell Object Fabrication
Haiming Zhao, Weiwei Xu, Kun Zhou, Yin Yang, Xiaogang Jin and Hongzhi Wu
Computer Graphics Forum, 36: 368-380, Sep. 2017.
AppFusion: Interactive Appearance Acquisition using a Kinect Sensor
Hongzhi Wu and Kun Zhou
Computer Graphics Forum, 34(6), 289-298, Sep. 2015.
[Paper(.PDF), 10.2MB] [Video(.MP4), 49.1MB] [Presentation(.PPSX), 79.5MB] [BibTex]
Patent# CN103955958, Aug. 2016.
Effects of Approximate Filtering on the Appearance of Bidirectional Texture Functions
Adrian Jarabo, Hongzhi Wu, Julie Dorsey, Holly Rushmeier and Diego Gutierrez
IEEE TVCG, 20, 6(Jun. 2014), 880-892.
[Paper(.PDF), 9.1MB] [Supplementary Material(.PDF), 21.3MB] [BibTex]
Inverse Bi-scale Material Design
Hongzhi Wu, Julie Dorsey and Holly Rushmeier
ACM Trans. Graph. (Proc. SIGGRAPH Asia 2013), 32, 6 (Nov. 2013), 163:1-163:10.
(Selected for the SIGGRAPH Asia movie trailer)
[Project Page]
Physically-based Interactive Bi-scale Material Design
Hongzhi Wu, Julie Dorsey and Holly Rushmeier
ACM Trans. Graph. (Proc. SIGGRAPH Asia 2011), 30, 6 (Dec. 2011), 145:1-145:10.
(Selected as a back-cover image)
[Paper(.PDF), 8.5MB] [Video(.MP4), 30.6MB] [YouTube] [SIGAsia Slides(.PPSX), 29.6MB] [BibTex]
A Sparse Parametric Mixture Model for BTF Compression, Editing and Rendering
Hongzhi Wu, Julie Dorsey and Holly Rushmeier
Computer Graphics Forum (Proc. EUROGRAPHICS 2011), 30(2), 465-473.
[Paper(.PDF), 4.9MB] [Video(.ZIP), 21.4MB] [YouTube] [EG Slides(.PPSX), 4.7MB] [BibTex]
Characteristic Point Maps
Hongzhi Wu, Julie Dorsey and Holly Rushmeier
Computer Graphics Forum (Proc. EUROGRAPHICS Symposium on Rendering, 2009), 28(4), 1227-1236.
[Paper(.PDF), 11.2MB] [EGSR Slides(.ZIP) 2.6MB] [BibTex]
Context-Aware Textures
Jianye Lu, Athinodoros S. Georghiades, Andreas Glaser, Hongzhi Wu, Li-Yi Wei, Baining Guo, Julie Dorsey and Holly Rushmeier
ACM Trans. Graph. 26, 1(Jan. 2007), 3.
(Selected as the cover image)
[Paper(.PDF), 3.6MB] [Video(.AVI), 22.6MB] [Youtube] [BibTex][Project Webpage]
       Silhouette Texture
Hongzhi Wu, Li-Yi Wei, Xi Wang and Baining Guo
Rendering technique (Proc. EUROGRAPHICS Symposium on Rendering, 2006), 285-296.
[Paper(.PDF), 4.1MB] [Video(.MOV), 44MB] [YouTube] [EGSR Slides(.PPSX), 12.3MB] [BibTex] 
       Computer Graphics: Principles and Practices, 3rd Ed.
John F. Hugues, Andries van Dam, Morgan McGuire, David F. Sklar, James D. Foley, Steven K. Feiner and Kurt Akeley, Addison-Wesley, 2013.
Translator for the Official Chinese Version.
[Basic Topics] by Qunsheng Peng, Xinguo Liu, Lanfang Miao and Hongzhi Wu, China Machine Press, 2018. [Online Store]
[Advanced Topics] by Qunsheng Peng, Hongzhi Wu, Rui Wang and Xinguo Liu, China Machine Press, 2021. [Online Store]


Minyi Gu (MEng 2021 / Tencent)
Zimen Chen (MEng 2021 / Tencent)
Xuanda Yang (BEng 2020 / UCSD)
Ren Liu (BEng 2020 / Georgia Tech)
Xiaofeng Zeng (BEng 2020 / KTH)
Yaxin Peng (BEng 2020 / UIUC)
Cihui Xie (MEng 2020 / FaceUnity)
Chengan He (BEng 2019 / Yale University)
Zhongshu Du (BEng 2019 / UCSD)
Wanpeng Li (MEng 2018 / Microsoft / Excellent Graduate Award)
Yiwei Hu (BEng 2018 / Yale University)
Wenjia Zhang (BEng 2018 / Yale University)
Meng Yuan (BSc 2018 / Northwestern University)
Xin Hao (MEng 2018 / NetEase Games)
Zhenyu Tang (BEng 2017 / UNC Chapel Hill)
Tingting Chen (MEng 2017 / Microsoft)
Liran Qin (MEng 2017 / YituTech)
Wen Zhang (BEng 2016 / UCSD)
Zhaotian Wang (MEng 2016 / Google USA / Excellent Graduate Award)


I write recommendation letters for students that closely work with me on one or more research / engineering projects. For students who take my courses only, I cannot write the letters due to highly limited interactions.