1. Introduction
1.1. Motivation
1.2. Scope of this survey

2. Background
2.1. Sensors used for 3D HPE and HMR
2.2. Representation for human body

3. Overview of Deep Learning for 3D HPE and HMR

4. 3D Human Pose Estimation
4.1. Single person 3D pose estimation
4.2. Multi-person 3D pose estimation
4.3. Summary of 3D pose estimation

5. 3D Human Mesh Recovery
5.1. Template-based human mesh recovery
5.2. Template-free human body recovery
5.3. Summary of human mesh recovery

6. Evaluation
6.1. Evaluation metrics

7. Applications

8. Challenges and Conclusion