arxiv
PublishedJune 2, 2026 at 4:00 AM
—neutral
Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
Publisher summary· verbatim
arXiv:2606.00837v1 Announce Type: cross Abstract: Diffusion models provide strong priors for generating structured data, but many tasks require outputs beyond the scale on which these models are typically trained. Compositional generation addresses this by composing overlapping local plans from a pr
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Originally published on arxiv ↗