Qiao Feng

Qiao Feng (冯桥)

Ph.D. Student in Computer and Information Science

University of Pennsylvania

Email: fengqiao@seas.upenn.edu

Google Scholar • GitHub

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

Representative works are highlighted

	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: 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: 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: 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*
	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
	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
	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: 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: 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
	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

National Scholarship, Tianjin University, 2022.
Weichai Scholarship, Tianjin University, 2019.
Third Prize in the National Student Computer System Capability Challenge, 2019.
Programming Contest

Gold medal in the ACM-ICPC Asia Regional Contest, Nanjing Site, 2018.
Gold medal in the ACM-ICPC Asia Regional Contest, Qingdao Site, 2018.
Silver medal in the ICPC Asia-East Continent Final, Xi'an Site, 2018.

First Prize, National Olympiad in Informatics in Provinces (NOIP), 2016.
First Prize, National High School Math League, 2016.

Service

Teaching Assistant, Principles of Programming (Bilingual), Tianjin University, 2019.
Teaching Assistant, Data Structure, Tianjin University, 2020-2022.
Teaching Assistant, Algorithms Design and Analysis, Tianjin University, 2020-2022.
As a reviewer of conferences: CICAI, CVPR, NeurIPS.

	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: 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: 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: 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*
	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
	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
	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: 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: 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
	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