Structure-Aware Residual Pyramid Network for Monocular Depth Estimation

Understand

Monocular depth estimation is an essential task for scene understanding.

• The underlying structure of objects and stuff in a complex scene is critical to recovering accurate and visually-pleasing depth maps.
• Global structure conveys scene layouts, while local structure reflects shape details.
• Recently developed approaches based on convolutional neural networks (CNNs) significantly improve the performance of depth estimation.