On-the-fly Learning to Transfer Motion Style with Diffusion Models: A Semantic Guidance Approach

arXiv:2405.06646v1 Announce Type: cross
Abstract: In recent years, the emergence of generative models has spurred development of human motion generation, among which the generation of stylized human motion has consistently been a focal point of research. The conventional approach for stylized human motion generation involves transferring the style from given style examples to new motions. Despite decades of research in human motion style transfer, it still faces three main challenges: 1) difficulties in decoupling the motion content and style; 2) …

abstract arxiv cs.cv cs.gr development diffusion diffusion models emergence fly generative generative models guidance human research semantic style transfer type