Cheng Zhang

Research Scientist, Meta Reality Labs

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I am a Research Scientist at Meta Reality Labs, with broad research interests in inverse and differentiable rendering, 3D reconstruction with foundation models and agents, multimodal learning, and robot learning.

I received my Ph.D. in Computer Science from the University of California, Irvine in 2022, where I was advised by Prof. Shuang Zhao. My doctoral research focused on physics-based rendering and inverse rendering, particularly the recovery of geometry and material properties from physical measurements. To develop general and principled solutions to these inverse problems, I worked extensively on physics-based differentiable rendering. Prior to my Ph.D., I earned a B.E. in Electrical Engineering from Beijing University of Technology and an M.S. in Computer Science from Columbia University.

I was a recipient of the 2021 Facebook Fellowship and the 2023 ACM SIGGRAPH Outstanding Doctoral Dissertation Award. Here is my CV and dissertation.

News

Selected Publications

  1. arXiv
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    LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows
    Zhengqin Li, Cheng Zhang, Jakob Engel, and Zhao Dong
    arXiv preprint arXiv:2604.05182, 2026
  2. ART: Articulated Reconstruction Transformer
    Zizhang Li, Cheng Zhang, Zhengqin Li, Henry Howard-Jenkins, Zhaoyang Lv, Chen Geng, Jiajun Wu, Richard Newcombe, Jakob Engel, and Zhao Dong
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
  3. Image-space Adaptive Sampling for Fast Inverse Rendering
    Kai Yan, Cheng Zhang, Sébastien Speierer, Guangyan Cai, Yufeng Zhu, Zhao Dong, and Shuang Zhao
    ACM Transactions on Graphics, 2025
    SIGGRAPH 2025
  4. Digital Twin Catalog: A Large-scale Photorealistic 3D Object Digital Twin Dataset
    Zhao Dong, Ka Chen, Zhaoyang Lv, Hong-Xing Yu, Yunzhi Zhang, Cheng Zhang, Yufeng Zhu, Stephen Tian, Zhengqin Li, Geordie Moffatt, Sean Christofferson, James Fort, and 5 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Hightlight Presentation, 2025
  5. Neural-PBIR Reconstruction of Shape, Material, and Illumination
    Cheng Sun, Guangyan Cai, Zhengqin Li, Kai Yan, Cheng Zhang, Carl Marshall, Jia-Bin Huang, Shuang Zhao, and Zhao Dong
    In International Conference on Computer Vision, Oct 2023
  6. Antithetic Sampling for Monte Carlo Differentiable Rendering
    Cheng Zhang, Zhao Dong, Michael Doggett, and Shuang Zhao
    ACM Transactions on Graphics, Aug 2021
  7. Path-Space Differentiable Rendering of Participating Media
    Cheng Zhang*, Zihan Yu*, and Shuang Zhao
    ACM Transactions on Graphics, Aug 2021
  8. Path-Space Differentiable Rendering
    Cheng Zhang, Bailey Miller, Kai Yan, Ioannis Gkioulekas, and Shuang Zhao
    ACM Transactions on Graphics, Jul 2020
  9. A Differential Theory of Radiative Transfer
    Cheng Zhang, Lifan Wu, Changxi Zheng, Ioannis Gkioulekas, Ravi Ramamoorthi, and Shuang Zhao
    ACM Transactions on Graphics, 2019