High-quality Image Dehazing with Diffusion Model

arXiv:2308.11949v2 Announce Type: replace
Abstract: Image dehazing is quite challenging in dense-haze scenarios, where quite less original information remains in the hazy image. Though previous methods have made marvelous progress, they still suffer from information loss in content and color in dense-haze scenarios. The recently emerged Denoising Diffusion Probabilistic Model (DDPM) exhibits strong generation ability, showing potential for solving this problem. However, DDPM fails to consider the physics property of dehazing task, limiting its information completion capacity. In this work, …

abstract arxiv color cs.ai cs.cv ddpm denoising diffusion diffusion model image information loss probabilistic model progress quality type