I'm a master's student at Shanghai Jiao Tong University (SJTU), advised by Prof. Li Song.
Previously, I obtained my Bachelor degree from SJTU. I'm fortunate to work closely with Prof. Yue Wang at University of Southern California.
My research interests include: Scene Representations and Neural Rendering, Vision for Robotics.
OmniRe is a holistic framework for dynamic scene reconstruction that provides comprehensive coverage, including static backgrounds, driving vehicles, and non-rigidly moving dynamic actors.
We proposed a novel 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.
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
A 3DGS codebase for dynamic urban scene reconstruction/simulation, supporting multiple popular driving datasets, including: Waymo, PandaSet, ArgoVerse2, KITTI, NuScenes and NuPlan. It also provides different types of Gaussian representations for reconstructing rigid (Vehicles) and non-rigid individuals (Pedestrians, Cyclists, etc.).
Honors & Awards
National Scholarship (Highest Honor, 2 out of 200+), 2023
Zhiyuan Honor Scholarship (Elite Undergraduate Program, top 5%), SJTU, 2018-2022