profile photo

Ziyu Chen

Ph.D. Student in Computer Science
Stanford University

Email: ziyuchen@stanford.edu

About Me

I am a first-year CS Ph.D. student at Stanford University, advised by Jiajun Wu. My research is generously supported by the Stanford Graduate Fellowship. I'm working on visual generative models.

Previously, I worked with Prof. Yue Wang at USC and collaborated closely with Prof. Marco Pavone. I received my M.S. and B.S. degrees from Shanghai Jiao Tong University.

Updates
Research

◆ equal contribution  ·  ◇ equal advising  ·  full list

RealWonder: Real-Time Physical Action-Conditioned Video Generation

Wei Liu, ◆Ziyu Chen, Zizhang Li, Yue Wang, ◇Hong-Xing Yu, ◇Jiajun Wu

Under Review

RealWonder turns a single image into an interactive scene using a controllable video model. By incorporating physics, it enables physically grounded 3D interactions.

The Neverwhere Visual Parkour Benchmark Suite

Ziyu Chen, Henghui Bao, Haoran Chang, Alan Yu, Ran Choi, Kai McClennen, Gio Huh, Kevin Yang, Ri-Zhao Qiu, Yajvan Ravan, John J. Leonard, Xiaolong Wang, Phillip Isola, ◇Ge Yang, ◇Yue Wang

Under Review

A toolchain and benchmark suite for hyper-realistic visual locomotion, building high-fidelity digital twins of real-world environments for closed-loop evaluation.

OmniRe: Omni Urban Scene Reconstruction

Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic,
Sanja Fidler, Marco Pavone, Li Song, Yue Wang

ICLR 2025 (Spotlight)

OmniRe is a holistic framework for dynamic scene reconstruction that provides comprehensive coverage, including static backgrounds, driving vehicles, and non-rigidly moving dynamic actors.

360-Degree Panorama Generation from Few Unregistered NFoV Images

Jionghao Wang, ◆Ziyu Chen, Jun Ling, Rong Xie, Li Song

ACM Multimedia 2023

We proposed a diffusion-based pipeline that generates complete 360 panoramas using one or more unregistered NFoV images captured from arbitrary angles. This pipeline not only delivers superior quality panoramas but also offers a broader range of outcomes due to its text-conditioned generation capability.

L-Tracing Image

L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing

Ziyu Chen, Chenjing Ding, Jianfei Guo, Dongliang Wang, Yikang Li, Xuan Xiao, Wei Wu, Li Song

ECCV 2022

Our L-Tracing based reflectance factorization framework produces photo-realistic novel view images with nearly 10x speedup, compared with the same framework applying volumetric integration for light visibility estimation.

Open-source

DriveStudio GitHub stars badge

A 3DGS codebase for dynamic urban scene reconstruction and simulation, featuring different Gaussian representations for rigid actors (vehicles) and non-rigid actors (pedestrians, cyclists, etc.). Supported datasets include Waymo, PandaSet, ArgoVerse2, KITTI, NuScenes, NuPlan.

Recent Talks
OmniRe: Omni Urban Scene Reconstruction
  • MIT, Visual Computing Seminar, Oct 2024
  • Peking University, Hyperplane Lab, Oct 2024
  • LiAuto, Sept 2024
Honors & Awards

Stanford Graduate Fellowship, Stanford, 2025

National Scholarship, Shanghai Jiao Tong University, 2023

Zhiyuan Honor Fellowship, Shanghai Jiao Tong University, 2018-2022