Coordinating Multiple Conditions for Trajectory-Controlled Human Motion Generation

ArXi:2605.13729v1 Announce Type: cross Trajectory-controlled human motion generation aims to synthesize realistic human motions conditioned on both textual descriptions and spatial trajectories. However, existing methods suffer from two critical limitations: first, the conflict between text and trajectory conditions disrupts the denoising process, resulting in compromised motion quality or inaccurate trajectory following; second, the use of redundant motion representations