Songrun Liu

Songrun Liu (刘松润)

songruner@gmail.com
Github
My Resume (pdf)

About Me

I'm currently at the second year of the Computer Science Ph.D. Program at George Mason University, advised by Dr. Yotam Gingold.

My research interests include geometric deformation, structured modeling, interactivity and numerical optimization. I aim to make geometric skinning faster and easier for shapes in any representation. I'm also seek to improve general interactivity with numerical optimization, and to explore interactive approaches for creating structured digital geometry in design applications.

My research is funded by a National Science Foundation Graduate Research Fellowship.

Education

  • Ph.D. Student in Computer Science
    George Mason University 2013-Present
  • M.S. in Computer Science
    George Mason University 2011-2013
  • M.S. in Software Engineering
    Zhejiang University 2008-2010
  • B.S. in Computer Science
    Zhejiang University 2004-2008

Activities

Publications

Seamless: Seam erasure and seam-aware decoupling of shape from mesh resolution

Songrun Liu, Zachary Ferguson, Alec Jacobson, Yotam Gingold

2017. ACM Transactions on Graphics (TOG), 36(6). Also in Proceedings of SIGGRAPH Asia 2017.

Using Isophotes and Shadows to Interactively Model Normal and Height Fields

Qiuying Xu, Songrun Liu, Yotam Gingold, Karan Singh

2016. Computers & Graphics.

Skinning Cubic Bézier Splines and Catmull-Clark Subdivision Surfaces

Songrun Liu, Alec Jacobson, Yotam Gingold

2014. ACM Transactions on Graphics (TOG) 33(6). Also in Proceedings of SIGGRAPH Asia 2014.
This research was adopted by Adobe Illustrator as the Puppet Warp tool.