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.
翻译:本文提出了一种面向运动风格迁移领域的新型多样化风格数据集。该数据集采用工业标准人体骨骼结构,因此可无缝接入多种3D角色项目,具备工业化应用就绪特性。我们通过公开并市场化这一数据集,揭示了运动风格迁移领域现存挑战,并以此激励该方向的后续研究。为验证数据集的实用性,实验采用最先进方法对运动风格迁移进行了系统性研究,结果表明所提数据集能有效支撑运动风格迁移任务。