Chen GENG 「耿 晨 ? My first name is Chen, and my last name is Geng.
I prefer to be addressed by my first name Chen.
Possible pronunciation: Chen(ch-uhn) Geng(guh-ng).

Hi👋! I'm a first-year CS Ph.D. student at Stanford. I am fortunate to be advised by Prof. Jiajun Wu and affiliated with the Stanford Vision and Learning Lab. My research lies at the intersection between Graphics, 3D Vision, and Machine Learning. Specifically, I'm currently interested in physical scene understanding by inverting graphics engines.

Previously, I got my bachelor's degree in Computer Science from Zhejiang University in 2023, with an honors degree from Chu Kochen Honors College. During my undergraduate, I was privileged to work closely with Prof. Xiaowei Zhou and Prof. Sida Peng on several research projects. I spent a wonderful summer at Stanford, also with the CogAI group, in 2022.

If you have shared research interests or have any topics you'd like to chat about — especially if you're from underrepresented groups — don't hesitate to shoot me an email. I'm always up for exploring potential collaborations and/or engaging in insightful conversations.

Email: X × Y, where X = {gengchen}, Y = {}

Google Scholar  /  Twitter  /  GitHub  /  LinkedIn

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News 📰

  • 02/2024: One paper is accepted to CVPR 2024.
  • 01/2024: One paper is accepted to ICLR 2024.
  • 01/2024: This year I will co-organize Stanford Graphics Cafe (Lunch Seminar). Subscribe to our mailing list here!
  • 07/2023: One paper is accepted to ICCV 2023.
  • 04/2023: I'll be joining Stanford University as a CS PhD student.
  • 02/2023: One paper is accepted to CVPR 2023.
  • 02/2023: One paper is accepted to TPAMI.
  • 04/2022: One paper is accepted to SIGGRAPH 2022.

Selected Research 🔬

     (* denotes equal contribution)

     For the comprehensive list, check out my Google Scholar page.
Relightable and Animatable Neural Avatar from Sparse-View Video
Zhen Xu, Sida Peng, Chen Geng, Linzhan Mou, Zihan Yan, Jiaming Sun, Hujun Bao, Xiaowei Zhou
CVPR 2024 (Highlight)
[arXiv] [Project Page] [Video]

tl;dr: We estimate physically based intrinsics of dynamic characters from monocular videos.

Neural Polynomial Gabor Fields for Macro Motion Analysis
Chen Geng*, Hong-Xing "Koven" Yu*, Sida Peng, Xiaowei Zhou, Jiajun Wu
ICLR 2024
[Paper] [OpenReview] [Project Page]

tl;dr: We discover a low-dimensional interpretable motion representation for dynamic scenes with macro motion.

Tree-Structured Shading Decomposition
Chen Geng*, Hong-Xing "Koven" Yu*, Sharon Zhang, Maneesh Agrawala, Jiajun Wu
ICCV 2023
[Paper] [Project Page] [Video] [Code] [MarkTechPost]

tl;dr: We decompose the shading of objects into a tree-structured representation, which can be edited or interpreted by users easily.

Learning Neural Volumetric Representations of Dynamic Humans in Minutes
Chen Geng*, Sida Peng*, Zhen Xu*, Hujun Bao, Xiaowei Zhou
CVPR 2023
[Paper] [Project Page] [Code]

tl;dr: We accelerate the learning of neural volumetric videos of dynamic humans by over 100 times.

Implicit Neural Representations with Structured Latent Codes for Human Body Modeling
Sida Peng, Chen Geng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Xiaowei Zhou, Hujun Bao
TPAMI 2023
[Paper] [www]

tl;dr: Our approach reconstruct geometry and appearance of human performers with high accuracy from sparse observations.

Novel View Synthesis of Human Interactions from Sparse Multi-view Videos
Qing Shuai, Chen Geng, Qi Fang, Sida Peng, Wenhao Shen, Xiaowei Zhou, Hujun Bao
SIGGRAPH 2022 (Featured in the technical paper trailer)
[Paper] [Bibtex] [Code] [Project Page]

tl;dr: Given sparse multi-view videos of crowded scenes with multiple human performers, our approach is able to generate high-fidelity novel views and accurate instance masks.

Experience 🧑‍🎓
Stanford University
2023 - Present, Stanford, California

PhD Student
Advisor: Prof. Jiajun Wu
Zhejiang University
2019 - 2023, Hangzhou, China

B.Eng.(Honours) in Computer Science
Cumulative GPA: 94.38/100, 3.99/4.0
Major GPA: 96.67/100, 4.0/4.0
Advisor: Prof. Xiaowei Zhou
Academic Service 🏛️
Reviewer: CVPR, ECCV, SIGGRAPH Asia, ICML, NeurIPS, T-PAMI, ICRA, NeurIPS D&B, 3DV, Pacific Graphics.
Co-organizer: Stanford GCafé (Graphics Lunch Seminar) 2024, 3DV 2025.

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Last updated: Jun 2024