2026
Event-T2M: Event-level Conditioning for Complex Text-to-Motion Synthesis
ICLR 2026poster
Text-to-motion generation has advanced with diffusion models, yet existing systems often collapse complex multi-action prompts into a single embedding, leading to omissions, reordering, or unnatural transitions. In this work, we shift perspective by introducing a principled definition of an event as…