CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
Depth Completion deals with the problem of converting a sparse depth map to a dense one, given the corresponding color image. Convolutional spatial propagation network (CSPN) is one of the state-of-the-art (SoTA) methods of depth completion, which recovers structural details of the scene. In this paper, we propose CSPN++, which …