Motion-Adapter: A Diffusion Model Adapter for Text-to-Motion Generation of Compound Actions

ArXi:2604.16135v1 Announce Type: new Recent advances in generative motion synthesis have enabled the production of realistic human motions from diverse input modalities. However, synthesizing compound actions from texts, which integrate multiple concurrent actions into coherent full-body sequences, remains a major challenge. We identify two key limitations in current text-to-motion diffusion models: (i) catastrophic neglect, where earlier actions are over