1. Introduction  
2. Problem Definition  
3. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network  
3.1. Model Architecture  
3.2. Scale-Invariant Error  
4. Multi-Scale Continuous CRFs as Sequential Deep Networks for MDE  
4.1. Fusing Side Outputs with Continuous CRFs  
5. Structured Attention Guided Convolutional Neural Fields for MDE  
5.1. Structured Attention Guided Multi-Scale CRF  
5.2. Network Structure, Implementation, and Optimization  
6. Deep Ordinal Regression Network for MDE  
6.1. Space-Increasing Discretization  
6.2. Network Architecture, Learning, and Inference  
7. Unsupervised MDE with Left-Right Consistency  
7.1. DE as Image Reconstruction, DE Network, and Training Loss  
8. Datasets  
9. Discussion