10 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
Jinhong He, Minglong Xue, Zhipu Liu +3
Low-light image enhancement aims to improve the visibility of degraded images to better align with human visual perception. While diffusion-based methods have shown promising perfo…
cs.CV2024★ 2 cited
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Jinhong He, Minglong Xue, Aoxiang Ning +1
Diffusion model-based low-light image enhancement methods rely heavily on paired training data, leading to limited extensive application. Meanwhile, existing unsupervised methods l…
cs.CV2024★ 10 cited
Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion
Minglong Xue, Jinhong He, Wenhai Wang +1
Low-light image enhancement techniques have significantly progressed, but unstable image quality recovery and unsatisfactory visual perception are still significant challenges. To…