  In this work, we proposed a new style-diverse dataset for the domain of
motion style transfer. The motion dataset uses an industrial-standard human
bone structure and thus is industry-ready to be plugged into 3D characters for
many projects. We claim the challenges in motion style transfer and encourage
future work in this domain by releasing the proposed motion dataset both to the
public and the market. We conduct a comprehensive study on motion style
transfer in the experiment using the state-of-the-art method, and the results
show the proposed dataset's validity for the motion style transfer task.
