April 18, 2024, 4:45 a.m. | Minglong Xue, Jinhong He, Wenhai Wang, Mingliang Zhou

cs.CV updates on arXiv.org arxiv.org

arXiv:2401.03788v2 Announce Type: replace
Abstract: Low-light image enhancement techniques have significantly progressed, but unstable image quality recovery and unsatisfactory visual perception are still significant challenges. To solve these problems, we propose a novel and robust low-light image enhancement method via CLIP-Fourier Guided Wavelet Diffusion, abbreviated as CFWD. Specifically, CFWD leverages multimodal visual-language information in the frequency domain space created by multiple wavelet transforms to guide the enhancement process. Multi-scale supervision across different modalities facilitates the alignment of image features with …

arxiv clip cs.cv diffusion fourier image light low type via wavelet

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