Xinqi Liu | 刘 鑫 琦

Hi, this is Xinqi Liu's home page. I am currently a senior researcher at Department of Computer Vision Technology (VIS), Baidu Inc. I obtained my Ph.D. degree from School of Mechanical Engineering, Zhejiang University , advised by Prof. Jituo Li. I received my B.E. degree from XAUT.

My research focuses on 3D vision and graphics, exprecially 3D reconstruction. My main goal is reconstruct human bodies, clothing and scenes from the real world in a low-cost way.

Email:  liuxinqi7@126.com

A clothing reconstruction method based on an unsigned distance field, which can reconstruct clothing with complex shapes and contours from a single image.

A novel implicit representation to generate reposed reconstruction human body from a single image and target pose.

A robust clothing modeling method to generate a 3D clothing model with visually consistent clothing style and wrinkles distribution from a single RGB image using normal guidance.

We propose a new method that combines implicit and explicit ideas to reconstruct wrinkles realistic 3D clothing model and texture results.

A simple but effective regularization term is designed to deal with the texture patches fragmentation problem in texture mapping methods.

An automatic body and clothing reconstruction method to generate the human body with style-matched and texture-realistic clothing results from a single image.

A new method to reconstruct a deformable soft object with complete geometry and consistent texture by introducing an incremental-completion self-generated template (SGT).

A flexible 3D reconstruction framework that adopts a new data structure combining both voxels and points to significantly improve the reconstruction accuracy.

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