Depth Completion Using Geometry-Aware Embedding
Wenchao du,Hu Chen,Hongyu Yang,Yi Zhang,Wenchao du,Hu Chen,Hongyu Yang,Yi Zhang
Exploiting internal spatial geometric constraints of sparse LiDARs is beneficial to depth completion, however, has been not explored well. This paper proposes an efficient method to learn geometry-aware embedding, which encodes the local and global geometric structure information from 3D points, e.g., scene layout, object's sizes and shapes, to guide dense depth estimation. Specifically, we utiliz...
