R&D Postdoctoral Associate
Disney Research, Pittsburgh
Email: libin.liu [at] disneyresearch [dot] com
I am currently a R&D postdoctoral associate in
Disney Research, Pittsburgh. Before joining Disney Research,
I was a postdoctoral research fellow in the
the University of British Columbia.
I recieved my Ph.D. degree in computer science in 2014 and my B.S. degree in mathematics and physics in 2009 from
I am interested in character animation, physics-based simulation, motion control, and related areas such as optimal control, reinforcement learning, and deep learning. I put a lot of work into realizing various agile human motions on simulated characters. I also have some experience in simulating deformable objects and soft characters.
We present a method for learning robust control graphs that support real-time physics-based simulation of multiple characters, each capable of a diverse range of movement skills.
ACM Transactions on Graphics, Vol 35, Issue 2, Article 29. (to be presented at SIGGRAPH 2016)
Proc. ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2015 (SCA Best Paper Award)
ACM Transactions on Graphics, Vol 34, Issue 4, Article 94 (SIGGRAPH 2015)
We address several limitations of the sampling-based motion control method. A variety of highly agile motions, ranging from stylized walking and dancing to gymnastic and Martial Arts routines, can be easily reconstructed now.
Computer Graphics Forum 34(2) (Eurographics 2015).
We present a physics-based framework for simulation and control of human-like skeleton-driven soft body characters. We propose a novel pose-based plasticity model to achieve large skin deformation around joints. We further reconstruct controls from reference trajectories captured from human subjects by augmenting a sampling-based algorithm.
ACM Transactions on Graphics, Vol 32, Issue 6, Article 215 (SIGGRAPH Asia 2013)
We present methods for the control, parameterization, composition, and planning for highly dynamic motions. More specifically, we learn the skills required by real-time physics-based avatars to perform parkour-style fast terrain crossing using a mix of running, jumping, speed-vaulting, and drop-rolling.
ACM Transactions on Graphics, Vol 31, Issue 6, Article 154 (SIGGRAPH Asia 2012)
Given a motion capture trajectory, we propose to extract its control by randomized sampling.
ACM Transactions on Graphics, Vol 29, Issue 4, Article 128 (SIGGRAPH 2010)
|R&D Postdoctoral Associate||Aug. 2015 to present|