About Me
I am currently a Postdoctoral Research Fellow at MMLab@CUHK, working with Prof. Hongsheng Li. Prior to this, I obtained my Ph.D. at GAP Lab, advised by Prof. Xiaoguang Han at the Chinese University of Hong Kong (Shenzhen). Previously, I received my B.S. degree in Software Engineering from Tongji University. My research interests lie in computer graphics and 3D deep learning.
Interests
- Embodied AI
- 3D Content Generation and Reconstruction
- Shape Representation & Geometry Processing
News
- [2024.07] One paper got accepted by SIGGRAPH Asia 2024 (Journal).
- [2023.06] One paper got accepted by MICCAI 2023.
- [2023.06] One paper got accepted by TVCG 2023.
- [2023.03] One paper got accepted by CVPR 2023.
Publications
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
Haolin Liu, Xiaohang Zhan, Zizheng Yan, Zhongjin Luo, Yuxin Wen, Xiaoguang Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[paper] [project]
BAG: Body-Aligned 3D Wearable Asset Generation
Zhongjin Luo, Yang Li, Mingrui Zhang, Senbo Wang, Han Yan, Xibin Song, Taizhang Shang, Wei Mao, Hongdong Li, Xiaoguang Han, Pan Ji
Arxiv preprint, 2025
[paper] [project]
GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details
Zhongjin Luo, Haolin Liu, Chenghong Li, Wanghao Du, Zirong Jin, Wanhu Sun, Yinyu Nie, Weikai Chen, Xiaoguang Han
ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2024
[paper] / [project] / [code]
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling
Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han
Transactions on Visualization and Computer Graphics (TVCG), 2023
[paper] / [project] / [code]
RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset
Zhongjin Luo*, Shengcai Cai*, Jinguo Dong, Ruibo Ming, Liangdong Qiu, Xiaohang Zhan, Xiaoguang Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[paper] / [project] / [code]
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li
International Conference on Medical Image Computing&Computer Assisted Intervention (MICCAI), 2023
[paper] / [code]
GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions
Jie Zhou, Zhongjin Luo, Yu Qian, Xiaoguang Han, Hongbo Fu
Pacific Graphics (PG), 2023
[paper] / [code]
SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
Zhongjin Luo, Jie Zhou, Heming Zhu, Dong Du, Xiaoguang Han, Hongbo Fu
ACM Symposium on User Interface Software and Technology (UIST), 2021
[paper] / [project] / [code]