motion style transfer
2 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in motion style transfer
In this paper, we present a novel data-driven framework for motion style transfer, which learns from an unpaired collection of motions with style labels, and enables transferring motion styles not observed during training.
The Motion Puzzle is the first that can control the motion style of individual body parts, allowing for local style editing and significantly increasing the range of stylized motions.