Depth Map Super-Resolution

Depth super-resolution is a task in the field of computer vision that aims to enhance the spatial resolution of depth images through up-sampling techniques. The goal of this task is to generate high-resolution depth maps from low-resolution ones, thereby improving the accuracy and effectiveness in applications such as 3D scene reconstruction, virtual reality, and autonomous driving.