Chengfeng Zhao

I am currently a first-year Ph.D student at Intelligent Graphics Lab in HKUST (IGL-HKUST), supervised by Prof. Yuan Liu. Prior to this, I obtained my master and bachelor's degree from ShanghaiTech University, advised by Prof. Lan Xu. I was also fortunate to work closely with Prof. Jingyi Yu and Prof. Yuexin Ma.

My research interests are in Computer Graphics and 3D Computer Vision, specifically including video generation, human motion synthesis, learning-based garment simulation, large models, etc.

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📃 Publications
Mojito: LLM-Aided Motion Instructor with Jitter-Reduced Inertial Tokens🔗
Ziwei Shan*, Yaoyu He*, Chengfeng Zhao*,†, Jiashen Du, Jingyan Zhang, Qixuan Zhang, Jingyi Yu, Lan Xu
arXiv, 2025.
Project Page / arXiv / Code /

I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions🔗
Chengfeng Zhao, Juze Zhang, Jiashen Du, Ziwei Shan, Junye Wang, Jingyi Yu, Jingya Wang, Lan Xu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Project Page / arXiv / Code / Dataset / Video /   (Welcome to participate in 3rd Rhobin Challenge!)

HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment🔗
Juze Zhang*, Jingyan Zhang*, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Project Page / arXiv / Dataset / Video /

LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment🔗
Yiming Ren, Xiao Han, Chengfeng Zhao, Jingya Wang, Lan Xu, Jingyi Yu, Yuexin Ma
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
arXiv /

LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors🔗
Yiming Ren*, Chengfeng Zhao*, Yannan He, Peishan Cong, Han Liang, Jingyi Yu, Lan Xu, Yuexin Ma
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VR), 2023.
Project Page / arXiv / Code / Dataset / Video /

HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions🔗
Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, Lan Xu
The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023.
arXiv / Video /
🏆 Hornors and Awards
💻 Internships
AIGC Computer Vision Researcher
TeleAI, Shanghai, China
Mentor: Jiepeng Wang
2025.03 - now
Computer Vision Researcher
SenseTime, Shanghai, China
Mentor: Cheng Li
2021.06 - 2021.09
📌 Academic Services
📋 Teaching Assistants
🎓 Educations
Ph.D
The Hong Kong University of Science and Technology, Hong Kong, China
2025 - now
Master & Bachelor
ShanghaiTech University, Shanghai, China
2018.09 - now
High school
High School Affiliated to Nanjing Normal University, Nanjing, China
2015.09 - 2018.06

Template from Qianli Ma's homepage.