Cheng'an He

About

Cheng'an He 何城安

I'm a fourth 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. Currently, my work focuses on implicit neural representations, which leverages emerging neural representations to solve problems in dynamic scenarios.

GitHub Curriculum Vitae [Sept. 2022]

Past Experiences

Research Intern, , Summer 2022
Mentors: Dr. , Dr. , Dr. , Dr. , Dr.

Research Intern, , Summer 2021
Mentors: Dr. , Dr.

Research Intern, , Summer 2019
Mentor: Dr.

B.Eng. (CS), , 2015–2019
Advisor: Prof.

News

[10/2022] NeMF was involved in Project Motion Mix on Adobe Max Sneaks 2022!
[09/2022] One paper got accepted to NeurIPS 2022.

Publications

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)