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 camera sensors. https://smokeysmountainfurnitureoutlets.shop/product-category/outdoor-table-set/
A Transformer-Based Image-Guided Depth-Completion Model with Dual-Attention Fusion Module
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