陈文拯

陈文拯博士，现任北京大学王选计算机研究所助理教授。 博士毕业于多伦多大学，曾任英伟达多伦多AI研究院担任研究科学家。他的研究集中在计算摄影和机器学习的交叉领域，主要探索如何利用各种成像系统的光学和物理先验知识以提高三维感知性能。曾在IEEE CVPR，NeurIPS，ICLR，SIGGRAPH等领域顶级会议上发表论文二十余篇，并获得六项美国专利以及ICCP 2021 Best Poster Award。

个人英文主页：

https://wenzhengchen.github.io/

研究方向

  • 计算摄影
  • 三维视觉
  • 可微渲染

近期论文

1. Yuanxing Duan*, Fangyin Wei*, Qiyu Dai, Yuhang He, Wenzheng Chen#, Baoquan Chen#. 4D-Rotor Gaussian Splatting: Towards Efficient Novel-View Synthesis for Dynamic Scenes. SIGGRAPH 2024.

2. Parsa Mirdehghan, Maxx Wu, Wenzheng Chen, David B Lindell, Kiriakos N Kutulakos. TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light. CVPR 2024

3. Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao. Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. Siggraph Asia 2023.

4. Sizhuo Ma, Jian Wang, Wenzheng Chen, Suman Banerjee, Mohit Gupta, Shree Nayar. QfaR: Location-Guided Scanning of Visual Codes from Long Distances. MobiCom 2023.

5. Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, Jose M Alvarez. Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV 2023

6. Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler. Neural fields meet explicit geometric representations for inverse rendering of urban scenes. CVPR 2023

7. Taotao Zhou, Kai He, Di Wu, Teng Xu, Qixuan Zhang, Kuixiang Shao, Wenzheng Chen, Lan Xu, Jingyi Yu. Relightable neural human assets from multi-view gradient illuminations. CVPR 2023

8. Suyi Jiang, Haoran Jiang, Ziyu Wang, Haimin Luo, Wenzheng Chen, Lan Xu. Humangen: Generating human radiance fields with explicit priors. CVPR 2023

9. Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler. GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS, 2022.

10. Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler. Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. ECCV, 2022.

11. Rahul Gulve, Navid Sarhangnejad, Gairik Dutta, Motasem Sakr, Don Nguyen, Roberto Rangel, Wenzheng Chen, Zhengfan Xia, Mian Wei, Nikita Gusev, Esther YH Lin, Xiaonong Sun, Leo Hanxu, Nikola Katic, Ameer Abdelhadi, Andreas Moshovos, Kiriakos N Kutulakos, Roman Genov. A 39,000 Subex- posures/s CMOS Image Sensor with Dual-tap Coded-exposure Data-memory Pixel for Adaptive Single-shot Computational Imaging. VLSI Technology and Circuits, 2022

12. Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler. Extracting Triangular 3D Models, Materials, and Lighting From Images. CVPR, 2022.

13. Wenzheng Chen , Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler. DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. NeurIPS, 2021.

14. Yuxuan Zhang*, Wenzheng Chen*, Jun Gao, Huan Ling, Yinan Zhang, Antonio Torralba Sanja Fidler. Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. ICLR, 2021, Oral.

15. Wenzheng Chen*, Fangyin Wei*, Kyros Kutulakos, Szymon Rusinkiewicz, Felix Heide. Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition. SIGGRAPH Asia, 2020.

16. Wenzheng Chen*, Parsa Mirdehghan*, Sanja Fidler, Kyros Kutulakos. Auto- Tuning Structured Light by Optical Stochastic Gradient Descent. CVPR, 2020.

17. Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan Mcguire, Sanja Fidler. Learning Deformable Tetrahedral Meshes for 3D Reconstruction. NeurIPS, 2020.

18. Wenzheng Chen, Jun Gao*, Huan Ling*, Edward J. Smith*, Jaakko Lehti- nen, Alec Jacobson, Sanja Fidler. Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. NeurIPS, 2019.

19. Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide. Steady-state Non-Line-of-Sight Imaging. CVPR, 2019, Oral.

20. Huan Ling*, Jun Gao*, Amlan Kar, Wenzheng Chen, Sanja Fidler. Fast Interactive Object Annotation with Curve-GCN. CVPR, 2019.

21. Parsa Mirdehghan, Wenzheng Chen, Kyros Kutulakos. Optimal Structured Light a La Carte. CVPR, 2018, Spotlight.

22. Qiong Zeng*, Wenzheng Chen*, Zhuo Han, Mingyi Shi, Yanir Kleiman, Daniel Cohen-Or, Baoquan Chen, Yangyan Li. Group optimization for multi-attribute visual embedding. Visual Informatics, 2018.

23. Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Zhenhua Wang, Changhe Tu, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen. Synthesizing Training Images for Boosting Human 3D Pose Estimation. 3D Vision, 2016, Oral.

24. Huayong Xu, Yangyan Li, Wenzheng Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen. A Holistic Approach for Data-Driven Object Cutout. ACCV, 2016.

25. Qiong Zeng, Wenzheng Chen, Huan Wang, Changhe Tu, Daniel Cohen-Or, Dani Lischinski, Baoquan Chen. Hallucinating Stereoscopy from a Single Image. Eurographics, 2015.

国际竞赛获奖

论文Auto- Tuning Structured Light by Optical Stochastic Gradient Descent 获得 国际计算摄影大会ICCP 2021 Best Poster Award

论文Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition 入选普林斯顿Art of Science Exhibition

学术服务

  • Technical Communication and Poster Committee Member
  • CVPR、ICCV、ECCV等多个国际学术期刊审稿人

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