Depth Completion

The Depth Completion task is a sub-problem of depth estimation. In the sparse-to-dense depth completion problem, one wants to infer the dense depth map of a 3-D scene given an RGB image and its corresponding sparse reconstruction in the form of a sparse depth map obtained either from computational methods such as SfM (Strcuture-from-Motion) or active sensors such as lidar or structured light sensors.

<span class="description-source">Source: LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery </span>, <span class="description-source">Unsupervised Depth Completion from Visual Inertial Odometry</span>