10 citations · 21 across the 6 of their papers we have counts for
6 papers
O-Mamba: O-shape State-Space Model for Underwater Image Enhancement
Chenyu Dong, Chen Zhao, Weiling Cai +1
Underwater image enhancement (UIE) face significant challenges due to complex underwater lighting conditions. Recently, mamba-based methods have achieved promising results in image…
Cycle Contrastive Adversarial Learning for Unsupervised image Deraining
Chen Zhao, Weiling Cai, ChengWei Hu +1
To tackle the difficulties in fitting paired real-world data for single image deraining (SID), recent unsupervised methods have achieved notable success. However, these methods oft…
Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal
Ziqi Zeng, Chen Zhao, Weiling Cai +1
Existing unsupervised methods have addressed the challenges of inconsistent paired data and tedious acquisition of ground-truth labels in shadow removal tasks. However, GAN-based t…
Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement
Chen Zhao, Chenyu Dong, Weiling Cai +1
Underwater visuals undergo various complex degradations, inevitably influencing the efficiency of underwater vision tasks. Recently, diffusion models were employed to underwater im…
Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration
Chen Zhao, Weiling Cai, Chenyu Dong +1
Underwater images are subject to intricate and diverse degradation, inevitably affecting the effectiveness of underwater visual tasks. However, most approaches primarily operate in…
Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement
Chen Zhao, Weiling Cai, Chenyu Dong +1
Underwater images suffer from complex and diverse degradation, which inevitably affects the performance of underwater visual tasks. However, most existing learning-based Underwater…