The industrialization, high-density, and greener aquaculture requires a more precise and
intelligent aquaculture management. Phenotypic and behavioral information of fish, which …

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 …

Abstract Neural Radiance Fields (NeRF) is a popular neural expression for novel view
synthesis. By querying spatial points and view directions, a multilayer perceptron (MLP) can …

Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of
an object or scene from a set of input images. Learning-based methods have gained …

Underwater perception and 3D surface reconstruction are challenging problems with broad
applications in construction, security, marine archaeology, and environmental monitoring …

Vision in adverse weather conditions, whether it be snow, rain, or fog is challenging. In these
scenarios, scattering and attenuation severly degrades image quality. Handling such …

Neural radiance fields (NeRFs) are a deep learning technique that generates novel views of
3D scenes from multi-view images. As an extension of NeRFs, SeaThru-NeRF mitigates the …

Underwater imagery often exhibits distorted coloration as a result of light-water interactions,
which complicates the study of benthic environments in marine biology and geography. In …

Among the numerous efforts towards digitally recovering the physical world Neural
Radiance Fields (NeRFs) have proved effective in most cases. However underwater scene …

Water and light interactions cause color shifts and blurring in underwater images, while
dynamic underwater illumination further disrupts scene consistency, resulting in poor …