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

Neural fields have been broadly investigated as scene representations for the reproduction
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …

In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …

Reconstructing outdoor 3D scenes from temporal observations is a challenge that recent
work on neural fields has offered a new avenue for. However existing methods that recover …

Inverse problems in scientific imaging often seek physical characterization of heterogeneous
scene materials. The scene is thus represented by physical quantities, such as the density …

With the rapid development of 3D reconstruction, especially the emergence of algorithms
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …

The images in foggy weather are often degraded which may affect the object detection
process. Hence, in recent times, several schemes have been designed to eliminate the haze …

3D Gaussian splatting (3DGS) offers the capability to achieve real-time high quality 3D
scene rendering. However, 3DGS assumes that the scene is in a clear medium environment …

We tackle the ill-posed inverse rendering problem in 3D reconstruction with a Neural
Radiance Field (NeRF) approach informed by Physics-Based Rendering (PBR) theory …

Underwater image restoration aims to remove geometric and color distortions due to water
refraction, absorption and scattering. Previous studies focus on restoring either color or the …