arXiv:2306.08861
공식 코드 · Papers with Code
Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
PersonaBooth: Personalized Text-to-Motion Generation
D-LORD for Motion Stylization
Decoupling Contact for Fine-Grained Motion Style Transfer
SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion
Diffusion-based Human Motion Style Transfer with Semantic Guidance
SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer
토론
이 논문과 연결된 포럼 글이 아직 없습니다.