74 citations · 77 across the 3 of their papers we have counts for
4 papers
Task-Generic Hierarchical Human Motion Prior using VAEs
Jiaman Li, Ruben Villegas, Duygu Ceylan +4
A deep generative model that describes human motions can benefit a wide range of fundamental computer vision and graphics tasks, such as providing robustness to video-based human p…
Dynamic Facial Asset and Rig Generation from a Single Scan
Jiaman Li, Zhengfei Kuang, Yajie Zhao +3
The creation of high-fidelity computer-generated (CG) characters used in film and gaming requires intensive manual labor and a comprehensive set of facial assets to be captured wit…
Learning to Generate Diverse Dance Motions with Transformer
Jiaman Li, Yihang Yin, Hang Chu +4
With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well chore…
VirtualHome: Simulating Household Activities via Programs
Xavier Puig, Kevin Ra, Marko Boben +4
In this paper, we are interested in modeling complex activities that occur in a typical household. We propose to use programs, i.e., sequences of atomic actions and interactions, a…