IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model
Read the original on arXiv Computer Vision →The paper introduces TPMDM, a diffusion model that decouples and aligns heterogeneous geometric constraints—user-defined global trajectories and local image-derived poses—through a parallel control strategy. Building on TPMDM, the IKMo framework integrates a VLM-powered multi-agent system to translate user-friendly inputs into explicit motion constraints, enabling precise animation from unaligned, in-the-wild 2D reference images. Experiments on HumanML3D and KIT-ML show that IKMo achieves state‑of‑the‑art performance for motion generation under mixed trajectory and keyframe pose constraints.
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