Kai He (何开)

I am an incoming PhD student at the University of Toronto, supervised by Prof. Igor Gilitschenski. Currently, I am a senior-year undergraduate student at ShanghaiTech University majoring in computer science and technology. I am fortunate to work with Prof. Jingyi Yu and Prof. Lan Xu during my undergraduate studies. I also spent an exciting summer in 2023 at Carnegie Mellon University as a research intern advised by Prof. Sebastian Scherer.

Email  /  CV  /  Google Scholar  /  Github  /  LinkedIn

profile photo
Research

My research interests lie in 3D vision, particularly 3D Reconstruction, Generation and Neural Rendering. My current research focuses on the high-quality 3D reconstruction and rendering of humans and common objects and large-scale scenes. Additionally, I am exploring techniques that allow humans to edit and interact with objects in virtual environments.

DressCode: Autoregressively Sewing and Generating Garments from Text Guidance
Kai He, Kaixin Yao, Qixuan Zhang, Lingjie Liu, Jingyi Yu, Lan Xu
SIGGRAPH 2024 (ACM Transactions on Graphics)
arXiv / code
Relightable Neural Human Assets from Multi-view Gradient Illuminations
Taotao Zhou*, Kai He*, Di Wu*, Teng Xu, Qixuan Zhang, Kuixiang Shao, Wenzheng Chen,
Lan Xu, Jingyi Yu (* Equal contribution)
CVPR 2023
paper / arXiv / dataset

Free-view Face Relighting using a Hybrid Parametric Neural Model on a SMALL-OLAT Dataset
Youjia Wang, Kai He, Taotao Zhou, Kaixin Yao, Nianyi Li, Lan Xu, Jingyi Yu
IJCV 2022
paper / code

Activities

  • Sept. 2022 ~ Jan. 2023: Teaching Assistant in CS101 Algorithms and Data Structures, ShanghaiTech
  • Sept. 2020 ~ Present: Vice-President and core member of GeekPie, ShanghaiTech University
  • Sept. 2020 ~ Present: President and student coach of ACM Club, ShanghaiTech University

  • Selected Awards and Honors

  • 2020, 2021: Merit Student, ShanghaiTech University
  • 2021: Gold Medal, The 45th ICPC Asia Yinchuan Regional Contest
  • 2020: Gold Medal, The 45th ICPC Asia Nanjing Regional Contest

  • This homepage is designed based on Jon Barron's website.
    © 2023.12 Kai He