3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics Based Appearance-Medium Decoupling
3D-UIR is an underwater novel view synthesis method that tackles water medium interference and floating artifacts in underwater scene representation through physics-based appearance-medium decoupling. Disentangles object appearance from water medium effects using tailored Gaussian modeling with appearance embeddings and distance-guided optimization.

Color Discrimination Multi-Scale Exposure Fusion for Underwater Image Enhancement
We propose a multi-space processing pipeline that achieves robust enhancement performance across diverse challenging underwater scenarios without relying on reference image. CDEF employs color discrimination and multi-space fusion to significantly improve contrast, saturation, and sharpness while maintaining consistent performance without artifacts or over-exposure.

Underwater Blurred Object Detection via Distraction Mining
UDMDet tackles underwater object detection challenges by exploring degradation mechanisms rather than image enhancement, mining target-background differences through distraction-aware feature fusion and task-aligned detection heads to progressively separate confusing features and improve detection performance in blurry underwater environments.

Multi-type Feature Perception and Refined Network for Spaceborne Infrared Ship Detection
MFPRN addresses satellite infrared ship detection challenges by enhancing information interaction during feature extraction through dual-branch feature fusion combining Fast Fourier convolution for comprehensive receptive fields and lightweight MLP for long-range dependencies, coupled with cascaded RPN to reduce false alarms in low SNR infrared imagery.

Real-World Underwater Image Texture Enhancement Based on Blurriness and Color Fusion
TEBCF focuses on underwater texture degradation caused by light scattering and absorption through multi-scale fusion of RGB contrast dehazing and CIELAB morphological enhancement, effectively recovering both global and local texture details while adaptively 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.