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Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
March 12, 2024, 4:49 a.m. | Chunming He, Chengyu Fang, Yulun Zhang, Tian Ye, Kai Li, Longxiang Tang, Zhenhua Guo, Xiu Li, Sina Farsiu
cs.CV updates on arXiv.org arxiv.org
Abstract: Illumination degradation image restoration (IDIR) techniques aim to improve the visibility of degraded images and mitigate the adverse effects of deteriorated illumination. Among these algorithms, diffusion model (DM)-based methods have shown promising performance but are often burdened by heavy computational demands and pixel misalignment issues when predicting the image-level distribution. To tackle these problems, we propose to leverage DM within a compact latent space to generate concise guidance priors and introduce a novel solution called …
arxiv cs.cv diff diffusion diffusion model image image restoration type
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