Guandao Yang

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I’m a researcher at Apple working with Stephan Richter and Vladlen Koltun, and an incoming Assistant Professor in ECE at the University of Texas at Austin. I spent two wonderful year as a postdoctoral scholar at Stanford, working with Leonidas Guibas and Gordon Wetzstein. I obtained my PhD at Cornell Tech, advised by Serge Belongie and Bharath Hariharan. During my doctoral studies, I collaborated with various industry labs, including NVIDIA, Intel, and Google. Prior to my PhD, I received my Bachelor’s degree from Cornell University in Ithaca, majoring in Mathematics and Computer Science.

My research lies in the intersection of machine learning, computer vision, and computer graphics. I’m interested in building artificial intelligence that can learn efficiently from limited data and work in the real 3D world. Here is my Research Statement.

Outside research, I enjoy traditional rock climbing and playing classical piano.

News

2025-06-26 Three papers are accepted to ICCV 2025!
2025-01-26 Three papers, including AIpparel and BlenderGym, are accepted to CVPR 2025!
2025-01-23 InfoGaussian is accepted to ICLR 2025!
2024-10-01 DiffusionPDE and FiVA are accepted to NeurIPS 2024!
2024-07-26 Our paper in symmetry detection is accepted to SIGGRAPH Asia 2024!

Selected Publications

  1. symmetry.gif
    Robust Symmetry Detection via Riemannian Langevin Dynamics
    Jihyeon Je*, Jiayi Liu*Guandao Yang*, Boyang Deng*, Shengqu Cai, Gordon Wetzstein, Or Litany, and Leonidas Guibas
    SIGGRAPH Asia Conferene, 2024
  2. blenderalchemy.webp
    BlenderAlchemy: Editing 3D Graphics with Vision-Language Models
    Ian Huang, Guandao Yang, and Leonidas Guibas
    ECCV, 2024
  3. physavatar.webp
    PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
    Yang Zheng*, Qingqing Zhao*Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas Guibas, and Gordon Wetzstein
    ECCV, 2024
  4. ncv.png
    Neural Control Variates via Automatic Integration
    Zilu Li*Guandao Yang*, Qingqing Zhao, Xi Deng, Leonidas J. Guibas, Bharath Hariharan, and Gordon Wetzstein
    In SIGGRAPH, 2024
  5. gpt4eval.jpeg
    GPT-4V (ision) is a Human-Aligned Evaluator for Text-to-3D Generation
    Tong Wu*Guandao Yang*, Zhibing Li*, Kai Zhang, Ziwei Liu, Leonidas Guibas, Dahua Lin, and Gordon Wetzstein
    In CVPR, 2024
  6. mcgpnf.jpg
    Neural Caches for Monte Carlo Partial Differential Equation Solvers
    Zilu Li*Guandao Yang*, Xi Deng, Christopher De Sa, Bharath Hariharan, and Steve Marschner
    In SIGGRAPH Asia, 2023
  7. NFGP.png
    Geometry processing with neural fields
    Guandao Yang, Serge Belongie, Bharath Hariharan, and Vladlen Koltun
    NeurIPS, 2021
  8. ShapeGF.gif
    Learning gradient fields for shape generation
    Ruojin Cai*Guandao Yang*, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, and Bharath Hariharan
    In ECCV (Spotlight), 2020
  9. pointflow.webp
    Pointflow: 3d point cloud generation with continuous normalizing flows
    Guandao Yang*, Xun Huang*, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan
    In ICCV (Oral), 2019