Qiao Feng (冯桥)

  Ph.D. Student in Computer and Information Science

  University of Pennsylvania

  Email: fengqiao@seas.upenn.edu

  Google ScholarGitHub


I'm a CIS Ph.D. student at the University of Pennsylvania, advised by Prof. Lingjie Liu. My research is 3D Vision, the intersection of computer vision and computer graphics, with a current focus on 3D human.

Before that, I received my Master's and Bachelor's degrees from Tianjin University, advised by Prof. Kun Li, working closely with Prof. Yebin Liu and Prof. Yu-Kun Lai.

Publications and Manuscripts

PhysHMR

PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction
Qiao Feng, Yiming Huang, Yufu Wang, Jiatao Gu, Lingjie Liu.
SIGGRAPH Asia Conference Papers (SA Conference Papers), 2025.
Paper | Project | Code

Vid2Sim

Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation
Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Paper | Project | Code

FOF-X

FOF-X: Towards Real-time Detailed Human Reconstruction from a Single Image
Qiao Feng*, Yuanwang Yang*, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li.
Arxiv, 2025.
Paper | Project | Code

FOF

FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
Qiao Feng, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li.
Advances in Neural Information Processing Systems (NeurIPS), 2022.
Paper | Supplemental | Project | Code

Show previous publications ↓

R2Human

R2Human: Real-Time 3D Human Appearance Rendering from a Single Image
Yuanwang Yang*, Qiao Feng*, Yu-Kun Lai, Kun Li. (*Equal contribution)
IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2024.
Paper | Project | Code

HumanCoser

HumanCoser: Layered 3D Human Generation via Semantic-Aware Diffusion Model
Yi Wang*, Jian Ma*, Ruizhi Shao, Qiao Feng, Yu-Kun Lai, Yebin Liu, Kun Li. (*Equal contribution)
IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2024.
Project

Joint2Human

Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
Muxin Zhang*, Qiao Feng*, Zhuo Su, Chao Wen, Zhou Xue, Kun Li. (*Equal contribution)
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Paper | Project

LPSNet

LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
Haoyang Ge*, Qiao Feng*, Hailong Jia, Xiongzheng Li, Xiangjun Yin, You Zhou, Jingyu Yang, Kun Li. (*Equal contribution)
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Project

SemanticHuman

Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing
Xiaokun Sun, Qiao Feng, Xiongzheng Li, Jinsong Zhang, Yu-Kun Lai, Jingyu Yang, Kun Li.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Paper | Supplemental | Project | Code

MRHGR

Monocular Real-Time Human Geometry Reconstruction
Qiao Feng, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li.
CAAI International Conference on Artificial Intelligence (CICAI), 2022.
Tips: A demo paper, implementation of FOF, with minor engineering improvements.
Paper

STATE

STATE: Learning Structure and Texture Representations for Novel View Synthesis
Xinyi Jing*, Qiao Feng*, Yu-Kun Lai, Jinsong Zhang, Yuanqiang Yu, Kun Li. (*Equal contribution)
Computational Visual Media (CVM), 2023.
Paper | Supplemental | Project | Code

TSNeRF

TSNeRF: Text-driven stylized neural radiance fields via semantic contrastive learning
Yi Wang, Jing-Song Cheng, Qiao Feng, Wen-Yuan Tao, Yu-Kun Lai, Kun Li.
Computers & Graphics, 2022.
Paper

MGTnet

Image-Guided Human Reconstruction via Multi-Scale Graph Transformation Networks
Kun Li, Hao Wen*, Qiao Feng*, Yuxiang Zhang, Xiongzheng Li, Jing Huang, Cunkuan Yuan, Yu-Kun Lai, Yebin Liu. (*Equal contribution)
IEEE Transactions on Image Processing (TIP), 2021.
Paper | Project | Code | Data



Honors and Awards


Service