#artificial intelligence
May 2026
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.
· arXiv.org · 2 citations