DiffND combines a depth- and sky-guided data synthesis pipeline with a diffusion model gated by a brightness perception network to achieve nighttime dehazing with day-level brightness.
Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer
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The Devil is in the Darkness: Diffusion-Based Nighttime Dehazing Anchored in Brightness Perception
DiffND combines a depth- and sky-guided data synthesis pipeline with a diffusion model gated by a brightness perception network to achieve nighttime dehazing with day-level brightness.