About

Cheng'an He 何城安

I'm a final-year Ph.D. student at Yale University, where I joined the and started working with Prof. , Prof. , and Prof. . My research interests lie in the area of computer graphics and computer vision, with some previous projects involving 3D reconstruction, reflectance capture, and appearance modeling. My recent work focuses on high-quality human digitization, leveraging emerging neural representations to model human motion, hair, face, etc.

   GitHub  Curriculum Vitae [Jan. 2025]

Past Experiences

News

  • [02/2025] One paper got accepted to ICLR 2025 as a Spotlight.
  • [12/2024] Digital Salon was presented at SIGGRAPH Asia 2024 Real-Time Live! in Tokyo.
  • [10/2022] NeMF was involved in Project Motion Mix on Adobe Max Sneaks 2022.
  • [09/2022] One paper got accepted to NeurIPS 2022 as a Spotlight.

Publications

Augmented Mass-Spring Model for Real-Time Dense Hair Simulation

, , , , Chengan He, ,
arXiv

Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Chengan He, , , , , , , , , ,
ICLR 2025

Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation

Chengan He*, *, *, , , , , , , ,
SIGGRAPH Asia 2024 Real-Time Live!

NeMF: Neural Motion Fields for Kinematic Animation

Chengan He, , , ,
NeurIPS 2022

An Inverse Procedural Modeling Pipeline for SVBRDF Maps

, Chengan He, , ,
ACM Transactions on Graphics (Proc. of SIGGRAPH 2022)

Learning Efficient Illumination Multiplexing for Joint Capture of Reflectance and Shape

, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, ,
ACM Transactions on Graphics (Proc. of SIGGRAPH Asia 2019)