Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data

Adrian Lopez-Rodriguez, Benjamin Busam, Krystian Mikolajczyk

Depth completion aims to predict a dense depth map from a sparse depth input. The acquisition of dense ground truth annotations for depth completion settings can be difficult and,…