Movement Trend Guidance for 3D Diffusion Policies

Movement Trend Guidance enables 3D diffusion policies to anticipate future interactions by learning a compact latent representation of evolution from short observation histories. This provides foresight during inference without requiring explicit, computationally expensive motion planning.