Existing Ultra-High-Definition (UHD) low-light image enhancement (LLIE) methods typically rely on either spatial- or frequency-domain modeling, or independently process different frequency components for efficient restoration. However, they often fail to jointly exploit complementary spatial--frequency information and...
Bo Fu, Hai-Ming Chi, Li-Yan Wang et al.· 0 citations
This work proposes a novel framework centered on Positive-Incentive Noise and structured prompt modulation that harnesses task-aware {\pi}-noise, sampled from a distribution conditioned on both visual and text inputs, to perturb global tokens and enable semantics-guided cross-modal compensation.
Wei-Xiang Zhou, Yu-Hao Wang, Xing-Guo Xu et al.· 0 citations
A Degradation-Aware Cross-Modal Prompt Compensation Network that leverages cross-modal degradation cues from a pre-trained vision-language model to condition restoration features within a unified backbone, achieving robust and perceptually consistent restoration across diverse weather conditions.
Wan-Shu Fan, Yunzhe Zhang, Yue Shen et al.· IEEE Transactions on Image P...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.