Xingyu Chen (陈星宇)

✉ chenxy.sean[at]gmail.com  

I am currently a Postdoctoral Research Fellow at Peking University.

Before joining PKU, I have 3.5 years of experience in AI corporations, Kuaishou and Xiaobing, working closely with Baoyaun Wang.

I obtained my Ph.D. in Control Science and Engineering from Institute of Automation, Chinese Academy of Science in 2020, under the supervision of Prof. Junzhi Yu. Previously I received my B.S. in Electrical Engineering and Automation from Chengdu University of Technology in 2015.

My research interests lie in human-centric modeling, understanding, interaction, and intelligence.

(here for full publications)

Our HaveFun framework can create human avatars from few-shot unconstrained images.

We propose a novel 3D-aware GAN that can directly render high-resolution images.

We propose a HandAvatar framework, the first method for neural hand rendering with self-occluded illumination.

We propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coherence.

We reconstruct 3D hand by dividing camera-space mesh recovery into two sub-tasks, i.e., root-relative mesh recovery and root recovery.

We propose a temporal detection method based on anchor and feature offset refinements.

We propose a GAN-RS to elevate underwater visual quality.

The website template was adapted from Yu Deng.