Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …

Single underwater image enhancement remains a challenging ill-posed problem, even with
advanced deep learning methods, due to the significant information degeneration and …

The light absorption and scattering of underwater impurities lead to poor underwater
imaging quality. The existing data-driven based underwater image enhancement (UIE) …

Light traveling through water results in strong scattering across color channels, restricting
visibility in underwater images. Many cutting-edge underwater image enhancement …

Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …

Due to the absorption and scattering of light, underwater captured images often face serious
quality degradation issues. In this letter, we propose to cope with the aforementioned issues …

Deep convolutional neural networks (DCNNs) have exhibited excellent feature extraction
and detail reconstruction capabilities for single image super-resolution (SISR) …

Due to the wavelength-dependent light attenuation, refraction and scattering, underwater
images usually suffer from color distortion and blurred details. However, due to the limited …

In the realm of computer vision, semantic segmentation is the task of recognizing objects in
images at the pixel level. This is done by performing a classification of each pixel. The task is …

Research on neural radiance fields (NeRFs) for novel view generation is exploding with new
models and extensions. However, a question that remains unanswered is what happens in …