arXiv: cs.AI preprintsInternational6 November 2026
FreePath: Neural Mean Free Path for Image Dehazing
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arXiv:2611.07398v1 Announce Type: cross Abstract: Single image dehazing requires recovering scene radiance from visual responses that are weakened and veiled by participating media. Existing methods either invert explicit scattering variables, which can be unstable under complex scenes, or learn direct restoration mappings, which often discard the physical organization of haze formation. We present \emph{FreePath}, a neural mean free path framework for image dehazing. Instead of estimating atmospheric parameters, FreePath represents dehazing as feature space path state restoration, inspired by
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