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Found 5 papers, 2 papers with code
DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement
To solve this issue, previous methods often idealize the degradation process, and neglect the impact of medium noise and object motion on the distribution of image features, limiting the generalization and adaptability of the model.
IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater
In underwater environments, variations in suspended particle concentration and turbidity cause severe image degradation, posing significant challenges to image enhancement (IE) and object detection (OD) tasks.
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction
Neural Radiance Field (NeRF) technology demonstrates immense potential in novel viewpoint synthesis tasks, due to its physics-based volumetric rendering process, which is particularly promising in underwater scenes.
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
Therefore, we present the synergistic multi-scale detail refinement via intrinsic supervision (SMDR-IS) for enhancing underwater scene details, which contain multi-stages.
