Chengan He

chengan (dot) he [at] yale (dot) edu | [CV]

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I’m a final-year Ph.D. student in the Computer Graphics Group at Yale University, advised by Prof. Holly Rushmeier. My research lies at the intersection of computer graphics and 3D computer vision, with prior work spanning 3D reconstruction, reflectance capture, and material appearance modeling. More recently, I have focused on high-quality human digitization, leveraging neural representations to model human motion, hair, head, etc.

During my Ph.D., I interned at Adobe Research twice (Summer 2021, Summer 2022), working with Dr. Yi Zhou on projects related to neural motion fields and parametric 3D hair modeling. In Summer 2024, I interned at Meta Codec Avatars Lab with Dr. Giljoo Nam, contributing to research on universal 3D hair modeling.

Prior to Yale, I obtained my bachelor’s degree from Zhejiang University, under the supervision of Prof. Hongzhi Wu.

💡 I'm open to research collaborations. If you see alignment in our research interests or wish to explore potential opportunities, feel free to email me directly.

News

Mar 31, 2025 One paper accepted to SIGGRAPH 2025 as a Journal Paper.
Jan 22, 2025 One paper accepted to ICLR 2025 as Spotlight.
Dec 06, 2024 Digital Salon was presented at SIGGRAPH Asia 2024 Real-Time Live! in Tokyo.
Oct 20, 2022 NeMF was involved in Project Motion Mix on Adobe Max Sneaks 2022.
Sep 14, 2022 One paper accepted to NeurIPS 2022 as Spotlight.

Publications

  1. ICCV
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    Augmented Mass-Spring Model for Real-Time Dense Hair Simulation
    Jorge Alejandro Amador Herrera, Yi Zhou, Xin Sun, Zhixin Shu, Chengan He, Sören Pirk, and Dominik L. Michels
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2025
    arXiv Website
  2. SIGGRAPH
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    3DGH: 3D Head Generation with Composable Hair and Face
    Chengan He, Junxuan Li, Tobias Kirschstein, Artem Sevastopolsky, Shunsuke Saito, Qingyang Tan, Javier Romero, Chen Cao, Holly Rushmeier, and Giljoo Nam
    ACM Transactions on Graphics (SIGGRAPH), 2025
    arXiv Website
  3. ICLR
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    Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
    Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk, Jorge Alejandro Amador Herrera, Dominik L. Michels, Tuanfeng Y. Wang, Meng Zhang, Holly Rushmeier, and Yi Zhou
    In International Conference on Learning Representations (ICLR), 2025 (Spotlight)
    arXiv Code Dataset Website
  4. SIGGRAPH Asia
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    Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation
    Chengan He*, Jorge Alejandro Amador Herrera*, Yi Zhou*, Zhixin Shu, Xin Sun, Yao Feng, Sören Pirk, Dominik L. Michels, Meng Zhang, Tuanfeng Y. Wang, and Holly Rushmeier
    In SIGGRAPH Asia 2024 Real-Time Live! (SIGGRAPH Asia), 2024
    Video Code Website
  5. NeurIPS
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    NeMF: Neural Motion Fields for Kinematic Animation
    Chengan He, Jun Saito, James Zachary, Holly Rushmeier, and Yi Zhou
    In Advances in Neural Information Processing Systems (NeurIPS), 2022 (Spotlight)
    arXiv Code Website
  6. SIGGRAPH
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    An Inverse Procedural Modeling Pipeline for SVBRDF Maps
    Yiwei Hu, Chengan He, Valentin Deschaintre, Julie Dorsey, and Holly Rushmeier
    ACM Transactions on Graphics (SIGGRAPH), 2022
    arXiv Website
  7. SIGGRAPH Asia
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    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 Transactions on Graphics (SIGGRAPH Asia), 2019
    Website