Zhengfei Kuang

Zhengfei Kuang

Ph.D. Student

Stanford University

About me

I’m Zhengfei Kuang (匡正非), a third-year Ph.D. student at the Stanford University, primally advised by Prof. Gordon Wetzstein. Before Stanford, I was studying at the University of Southern California and Tsinghua University. I also worked as a research assistant in the USC Institute for Creative Technologies from 2019 to 2022, advised by Prof. Hao Li, and worked as a research assistant in the Graphics & Geometric Computing Group from 2017 to 2019, advised by Prof. Shimin Hu.

Here’s my Curriculum Vitae.

Interests

  • Video & 3D Diffusion Model
  • Neural Rendering
  • 3D Reconstruction
  • Human Digitalization & Animation

Education

  • Master in Computer Science, 2022

    University of Southern California (Ph.D. Track)

  • BEng in Computer Science, 2019

    Tsinghua University

Experience

 
 
 
 
 

Research Intern

Adobe Research

Jun 2024 – Present San Jose, California
I’m working at Adobe with Fujun Luan and Miloš Hašan.
 
 
 
 
 

Research Intern

Epic Games

Jun 2023 – Dec 2023 Larkspur, California
I worked at Epic Games with Christoph Lassner and Jihun Yu on NeRF-Based Human Avatar Interpolation Model.
 
 
 
 
 

Research Intern

Adobe Research

May 2022 – Aug 2022 San Jose, California
I worked at Adobe with Fujun Luan, Zhixin Shu, Sai Bi and Kalyan Sunkavali on NeRF-based decomposition method.
 
 
 
 
 

Research Intern

Creative Vision Group, Snap Inc.

Jul 2021 – Dec 2021 Los Angeles, California
I spent five great months working at Snap with Kyle Olszewski, Menglei Chai, Zeng Huang and Sergey Tulyakov. I designed a two-stage NeRF-based model to reconstruct and rerender objects from online image collections.
 
 
 
 
 

Research Assistant

USC Institute for Creative Technologies

Aug 2020 – Jun 2021 Los Angeles, California
 
 
 
 
 

Research Intern

Center for Vision Technologies, SRI International

Jun 2020 – Sep 2020 Princeton, New Jersey
I had two great months working at SRI with Bogdan Matei and Qiao Wang. During that time, I developed a 3D point cloud completing method for street-view Lidar data, based on neural networks for 3D completion.
 
 
 
 
 

Research Assistant

Graphics & Geometric Computing Group, Tsinghua University

Aug 2017 – Jun 2019 Beijing, China