Yujie Wang

Yujie Wang

Postdoctoral Researcher in Computational Imaging and Graphics
yujiew.cn@gmail.com  ·  yujiew@hku.hk

About Me

I will soon join the WeLight Lab at The University of Hong Kong as a Postdoctoral Fellow, working with Prof. Yifan (Evan) Peng.

Previously, I was a postdoctoral researcher at the University of North Carolina at Chapel Hill, where I worked with Prof. Praneeth Chakravarthula.

I received my Ph.D. from Shandong University in 2024 under the supervision of Prof. Baoquan Chen. During my doctoral studies, I conducted most of my research at the Visual Computing and Learning Lab (VCL) at Peking University. I received my M.S. from Tianjin University and my bachelor’s degree from Sichuan University.

My research focuses on 3D scene reconstruction and generation, as well as computer-generated holography.

3D Scene Reconstruction & Generation Computer-Generated Holography

Publications

* Co-first author    † Co-corresponding author
CanoVerse

CanoVerse: 3D Object Scalable Canonicalization and Dataset for Generation and Pose

Li Jin, Yuchen Yang, Weikai Chen†, Yujie Wang†, Dehao Hao, Tanghui Jia, Yingda Yin, Zeyu Hu, Runze Zhang, Keyang Luo, Li Yuan, Long Quan, Xin Wang and Xueying Qin†
The European Conference on Computer Vision (ECCV), 2026
Paper Dataset
Canonicalization
🏆Award Candidate
⭐Full Reviewer Score

CoSMo3D: Open-World Promptable 3D Semantic Segmentation through LLM-Guided Canonical Spatial Modeling

Li Jin, Weikai Chen, Yujie Wang†, Yingda Yin, Zeyu Hu, Runze Zhang, Keyang Luo, Shengju Qian, Xin Wang and Xueying Qin†
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026
Paper Github Repo
HoloZip

Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts

Debabrata Mandal, Zhihan Peng,Yujie Wang and Praneeth Chakravarthula
The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
Paper
DOF-GS

DOF-GS: Adjustable Depth-of-Field 3D Gaussian Splatting for Post-Capture Refocusing, Defocus Rendering and Blur Removal

Yujie Wang, Praneeth Chakravarthula and Baoquan Chen
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
Paper Project Page Github Repo
Canonicalization

One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency

Li Jin, Yujie Wang, Wenzheng Chen, Qiyu Dai, Qingzhe Gao, Baoquan Chen and Xueyin Qin
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
Paper Project Page Github Repo
HoloZip

HoloZip: High Hologram Compression via Latent-of-Latent Coding

Huaizhi Qu*, Yujie Wang*, Ruichen Zhang, Hengyu Lian, Mufan Qiu, Samarjit Chakraborty, Henry Fuchs, Tianlong Chen and Praneeth Chakravarthula
IEEE International Conference on Computational Photography (ICCP), 2025
Paper
PupilAdaptive

Pupil-Adaptive 3D Holography Beyond Coherent Depth-of-Field

Yujie Wang, Baoquan Chen and Praneeth Chakravarthula
Arxiv, 2024
Paper
Holography
🏆 Best Paper Honorable Mention

Joint Neural Phase Retrieval and Compression for Energy- and Computation-Efficient Holography on the Edge

Yujie Wang*, Praneeth Chakravarthula*, Qi Sun and Baoquan Chen
ACM Transactions on Graphics (presented at SIGGRAPH 2022 and IEEE VIS 2022)
Paper Code
SinGRAV

SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene

Yujie Wang, Xuelin Chen and Baoquan Chen
Journal of Computer Science and Technology, 2024 (Arxiv, 2022.)
Paper Project Page
Intrinsic Data

High Quality Rendered Dataset and Non-local Graph Convolutional Network for Intrinsic Image Decomposition

Yujie Wang, Qingnan Fan, Kun Li, Dongdong Chen, Jingyu Yang, Jianzhi Lu, Dani Lischinski and Baoquan Chen
Journal of Image and Graphics (Chinese), 2022
Paper Dataset and Bibtex Paper (PDF, English version)
Sparse Intrinsic

Sparse intrinsic decomposition and applications

Kun Li*, Yujie Wang*, Xinchen Ye, Chenggang Yan, and Jingyu Yang
Signal Processing: Image Communication, 2021
Paper Code and Bibtex
ICME 2017
🏆 Best Paper Award

Intrinsic decomposition from a single RGB-D image with sparse and non-local priors

Yujie Wang, Kun Li, Jingyu Yang and Xinchen Ye
IEEE International Conference on Multimedia and Expo, ICME 2017, Hongkong, China.
Paper Code

Awards & Honors

Research Experience

Postdoctoral Researcher
UNC-Chapel Hill, Chapel Hill, USA
2024.12 - Present
Research Scholar
Peking University, Beijing, China
2024.04 - 2024.11
Visiting Student
Peking University, Beijing, China
2021.07 - 2024.03
Intern
AICFVE Research, Beijing, China
2018.07 - 2021.07