Pei Lin 林沛
linpei@bigai.ai
linpei2024@shanghaitech.edu.cn

I'm a Computer Science PhD student at Beijing Institute for General Artificial Intelligence (BIGAI) and ShanghaiTech University. I'm fortunate to be advised by Prof. Ziyuan Jiao and Prof. Chenxi Xiao.

My current research centers on dexterous robotic hands equipped with tactile perception. I aim to enable these dexterous robotic hands to perform more complex and higher-level maneuvers by endowing them with tactile capabilities.

In my previous research, I have primarily focused on human body motion, particularly interactive hand motion, which has greatly contributed to my current work. I feel incredibly fortunate to have had the guidance of Prof. Lan Xu, Prof. Jingyi Yi and Prof. Jingya Wang during my master's studies.

Google Scholar / Github

Updates

Research

PP-Tac: Paper Picking Using Tactile Feedback in Dexterous Robotic Hands

Pei Lin*, Yuzhe Huang*, Wanlin Li*, Jianpeng Ma, Chenxi Xiao†, Ziyuan Jiao†,
Robotics: Science and Systems 2025 ( RSS 2025)
7th Robot Learning Workshop in ICLR 2025, oral
Website  •   ArXiv  •   Code(Coming Soon)

HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models

Pei Lin*, Sihang Xu, Hongdi Yang, Yiran Liu, Xin Chen, Jingya Wang, Jingyi Yu, Lan Xu,
Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025)
Website  •   ArXiv  •   Dataset(Coming Soon)

HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs

Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, Lan Xu,
Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Website  •   ArXiv  •   Code

NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras

Xin Suo, Yuheng Jiang, Pei Lin, Yingliang Zhang, Minye Wu, Kaiwen Guo, Lan Xu,
Conference on Computer Vision and Pattern Recognition (CVPR 2021)
Website  •   ArXiv

Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions

Guoxing Sun, Xin Chen, Yizhang Chen, Anqi Pang, Pei Lin, Yuheng Jiang, Lan Xu, Jingya Wang, Jingyi Yu,
ACM Multimedia (ACM MM 2021 oral )
Website  •   ArXiv  •