Guangzhao (Alex) He

I'm a senior undergraduate majoring in Computer Science at Chu Kochen Honors College, Zhejiang University. I currently hold a GPA of 3.99/4.0 and expect to receive my degree in June, 2025.

I've been doing research at the intersection of Computer Vision and Graphics, working closely with Prof. Xiaowei Zhou and Prof. Sida Peng. I'm now a research intern with Prof. Jiajun Wu at Stanford University.

I also produce music and DJ under the alias ELYKZ, experimenting among the genres of House, Hip-hop and New-age.

Email  /  CV  /  Google Scholar  /  X  /  Github  /  Spotify

profile photo

News

  • [2024.06] I'll be joining Stanford Vision and Learning Lab supervised by Prof. Jiajun Wu and Prof. Shangzhe Wu
  • [2024.01] Our work 4K4D is accepted to CVPR 2024
  • [2023.07] Our work EasyVolcap is accepted to SIGGRAPH Asia 2023 TC

Publications

My research interests lie at the intersection of Vision and Graphics, particularly in the representation and understanding of dynamic 3D scenes, with the goal of enabling machines to perceive the dynamic and diverse world as humans do.

Category-Agnostic Neural Object Rigging
Guangzhao He, Chen Geng, Shangzhe Wu, Jiajun Wu
Under Review, 2024

A feed-forward pipeline that registers any object template onto a sequence of non-rigidly deforming point clouds, with 4.6x faster inference speed and 2x better accuracy than previous SOTA.

SuperGraph: Generalizable Deformation Graph Estimation for Sequential Non-rigid Registration
Guangzhao He, Yuxi Xiao, Sida Peng, Zhen Xu, Xiaowei Zhou
Under Review, 2024

A feed-forward pipeline that registers any object template onto a sequence of non-rigidly deforming point clouds, with 4.6x faster inference speed and 2x better accuracy than previous SOTA.

4K4D: Real-Time 4D View Synthesis at 4K Resolution
Zhen Xu, Sida Peng, Haotong Lin, Guangzhao He, Jiaming Sun, Yujun Shen, Hujun Bao, Xiaowei Zhou
CVPR, 2024
project page / arXiv

A novel point-based 4D representation reconstructed with multi-view videos, which can be rendered at 4k 200+ FPS with state-of-the-art quality on a single RTX 4090.

EasyVolcap: Accelerating Neural Volumetric Video Research
Zhen Xu, Tao Xie, Sida Peng, Haotong Lin, Qing Shuai, Zhiyuan Yu, Guangzhao He, Jiaming Sun, Hujun Bao, Xiaowei Zhou
SIGGRAPH Asia TC, 2023
github / arXiv

A Python & PyTorch library for accelerating volumetric video research, particularly in the area of neural dynamic scene representation, reconstruction, and rendering.


Template stolen from Jon Barron.