About
Hey, this is Junying Wang (王君瑛). I am currently a fourth-year Ph.D. candidate at
CGIT lab in the
Department of Computer Science at
University of Southern California, advised by
Prof. Ulrich Neumann.
Before that, I got my bachelor’s degree from
Ocean University of China. When I studied at USC, I was glad to work in
Vision and Graphics Lab of USC ICT, advised by
Prof. Hao Li.
If you want to know more about me, check my
CV here.
Research Topics
My main focus is on digital human research, including computer graphics and computer vision. I’m also interested in game design! Technology may not yet be capable of human consciousness, so with the limited time that I have on Earth, I want to introduce technology that brings innovation, equality, and mutual support to society. Currently, my research focuses on 3D reconstruction, neural rendering, and image synthesis.
Education
Aug. 2020 - Present, USC Viterbi | Department of Computer Science, University of Southern California
PhD Student
Jan. 2018 - Aug. 2020, USC Viterbi | Department of Computer Science, University of Southern California
Master of Engineering (Multimedia and Creative Technologies)
Aug. 2013 - Aug. 2017, Department of Computer Science and Engineering, Ocean University of China
Bachelor of Engineering
Publications
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
Junying Wang,
Jingyuan Liu,
Xin Sun,
Krishna Kumar Singh,
Zhixin Shu,
He Zhang,
Jimei Yang,
Nanxuan Zhao,
Tuanfeng Y. Wang,
Simon S. Chen,
Ulrich Neumann,
Jae Shin Yoon
IEEE Computer Vision and Pattern Recognition (CVPR) 2025
[Paper],
[Project page]
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
Cho-Ying Wu,
Yiqi Zhong,
Junying Wang,
Ulrich Neumann
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024
[Paper],
[Code]
Complete 3D Human Reconstruction from a Single Incomplete Image
Junying Wang,
Jae Shin Yoon,
Tuanfeng Y. Wang,
Krishna Kumar Singh,
Ulrich Neumann
IEEE Computer Vision and Pattern Recognition (CVPR) 2023
[Paper]
,
[Project page]
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction
Cho-Ying Wu,
Yiqi Zhong,
Junying Wang,
Ulrich Neumann
IEEE Computer Vision and Pattern Recognition Workshops (CVPRW) 2023
[Paper]
Teaching
- Teaching Assistant, University of Southern California
- Teaching Assistant, University of Southern California
- Teaching Assistant, University of Southern California
- Teaching Assistant, University of Southern California