A Transformer-Based Image-Guided Depth-Completion Model with Dual-Attention Fusion Module
Depth information is crucial for perceiving three-dimensional scenes.However, depth maps captured directly by depth sensors are often incomplete and noisy, our objective in the depth-completion task is to generate dense and accurate depth maps from sparse depth inputs by fusing guidance information from corresponding color images obtained from came