Style Translation for Human Motion (Supplemental Material)
Name
stf-sig2005-sup.mp4
Size
28.8 MB
Format
Unknown
Checksum (MD5)
0b89acefec4b791cca918fc494c1ba5f
Author(s)
Hsu, Eugene
Pulli, Kari
Popovic, Jovan
Date Issued
August 1, 2005
Citation
Style translation is the process of transforming an input motion into a new style while preserving its original content. This problem is motivated by the needs of interactive applications, which require rapid processing of captured performances. Our solution learns to translate by analyzing differences between performances of the same content in input and output styles. It relies on a novel corres
Series/Report no.
Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
Abstract
Style translation is the process of transforming an input motion into a new style while preserving its original content. This problem is motivated by the needs of interactive applications, which require rapid processing of captured performances. Our solution learns to translate by analyzing differences between performances of the same content in input and output styles. It relies on a novel correspondence algorithm to align motions, and a linear time-invariant model to represent stylistic differences. Once the model is estimated with system identification, our system is capable of translating streaming input with simple linear operations at each frame.
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