- OHTA: One-shot Hand Avatar via Data-driven Implicit Priors, 3DV 2025
- OHTA: One-shot Hand Avatar Generation via Data-driven Implicit Priors, CVPR 2024
- Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints, CVPR 2024
- Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image, ICCV 2023 (Oral)
- HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning, ICCV 2023
- Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling, ICCV 2023
- 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform, ECCV 2022
- Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images, TPAMI 2022
- Neural Pose Transfer by Spatially Adaptive Instance Normalization, CVPR 2020
- Pose-Guided Person Image Synthesis in the Non-Iconic Views, TIP 2020
Awards:
- First place in the HANDS2022 competition and invited to participate in the Observing and Understanding Hands in Action workshop of ECCV 2022.
Research Experience
Working as a Research and Development Engineer at ByteDance.
Education
Received an M.S. in Computer Science from Fudan University, advised by Prof. Yanwei Fu and Prof. Xiangyang Xue; also mentored by Dr. Yinda Zhang from 2018 to 2021. Obtained his bachelor’s degree from UESTC.
Background
Currently a Research and Development Engineer at ByteDance. His research interests include 3D reconstruction, neural rendering, and digital humans, with a special focus on building a virtual representation of physical objects, people, and environments.
Miscellany
Feel free to contact him if you are interested in academic cooperation.