Large Depth

Large depth, in the context of computer vision and related fields, refers to the accurate estimation and utilization of depth information in images and videos, aiming to improve 3D scene understanding and reconstruction. Current research focuses on developing robust and efficient methods for depth estimation from various sensor modalities (RGB, RGB-D, LiDAR), employing architectures like transformers and convolutional neural networks, and exploring techniques such as depth fusion, completion, and inpainting. These advancements have significant implications for applications ranging from autonomous driving and robotics to augmented reality and 3D modeling, enabling more accurate and reliable perception and interaction with the 3D world.