1. Introduction  
1.1 ARMs: Model Explicit Likelihood Functions  
1.2 EBMs: From Explicit Likelihoods To Unnormalized Ones  
1.3 SBMs and DMs: From Potentials to Scores  
1.4 Diffusion Models: Multi-Level SBMs  
2. Diffusion-to-Field Distillation  
2.1 Output Distillation  
2.2 Path Distillation  
3. Diffusion-to-generator Distillation  
3.1 Distill Deterministic Generator  
3.2 Distill Stochastic Generator  
4. Accelerated Sampling Algorithms as Diffusion Distillation  
4.1 Training-based Accelerating Algorithms  
4.2 Training-free Accelerating Algorithms  
5. Conclusion