3 citations · 4 across the 3 of their papers we have counts for
4 papers
Underwater Image Enhancement with Cascaded Contrastive Learning
Yi Liu, Qiuping Jiang, Xinyi Wang +2
Underwater image enhancement (UIE) is a highly challenging task due to the complexity of underwater environment and the diversity of underwater image degradation. Due to the applic…
IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater
Jingchun Zhou, Qilin Gai, Kin-man Lam +1
In underwater environments, variations in suspended particle concentration and turbidity cause severe image degradation, posing significant challenges to image enhancement (IE) and…
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction
Jingchun Zhou, Tianyu Liang, Dehuan Zhang +1
Neural Radiance Field (NeRF) technology demonstrates immense potential in novel viewpoint synthesis tasks, due to its physics-based volumetric rendering process, which is particula…
DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement
Jingchun Zhou, Zongxin He, Qiuping Jiang +3
Underwater image enhancement (UIE) is a challenging task due to the complex degradation caused by underwater environments. To solve this issue, previous methods often idealize the…