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Refining Compositional Diffusion for Reliable Long-Horizon Planning

Refining Compositional Diffusion (RCD) is proposed, a training-free guidance method that steers compositional sampling toward high-density, globally coherent plans and demonstrates that RCD consistently outperforms existing methods.

Kyowoon Lee, Yunhao Luo, Anh Tong et al. · 2 citations

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