W2WDiff: Generalizing Underwater Diffusion Model via Unsupervised Underwater Conversion
W2WDiff is a diffusion-based underwater image enhancement (UIE) framework that integrates water-to-water domain aggregation with latent space operations to achieve superior generalization and enhancement performance. This design effectively addresses critical limitations of existing diffusion-based UIE methods, particularly their susceptibility to distribution shifts and semantic inconsistencies.

ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC Images
ViDA-UGC introduces the first large-scale UGC distortion assessment dataset with distortion-oriented CoT annotations, together with ViDA-UGC-Bench for fine-grained, explainable quality analysis of UGC and AIGC images.

Underwater Scene Enhancement via Adaptive Color Analysis and Multi-Space Fusion
We propose CDEF, a reference-free multi-space pipeline that enhances underwater images by leveraging color discrimination and multi-scale fusion, achieving robust contrast, saturation, and sharpness improvements without artifacts or over-exposure.

Underwater Blurred Object Detection via Distraction Mining
UDMDet improves blurred underwater object detection without relying on image enhancement, mining target-background distractions through distraction-aware feature fusion and task-aligned heads to separate confusing features.

Multi-type Feature Perception and Refined Network for Spaceborne Infrared Ship Detection
MFPRN improves low-SNR infrared ship detection through dual-branch fusion of Fourier-based global perception and lightweight MLP long-range modeling, followed by cascaded proposal refinement to suppress background confusion and false alarms.

Real-World Underwater Image Texture Enhancement Based on Blurriness and Color Fusion
TEBCF restores real-world underwater texture through multi-scale fusion of RGB contrast dehazing and CIELAB morphological enhancement, recovering global and local details while improving contrast, saturation, and sharpness.

Underwater Image Vision Enhancement Based on Contour Bougie Morphology
CBM addresses underwater texture degradation caused by forward scattering through multi-step morphological operations with dual-sized contour structure elements, enhancing underwater image visibility without requiring scene priors.