Introduction
Discriminative vs Generative Models
| Discriminative model | Generative model | |
|---|---|---|
| Goal | Directly estimate ( P(y | x) ) | Estimate ( P(x | y) ) |
| What’s learned | Decision boundary | Probability distributions of the data |
TODO:
- math for diffusion model training
- training and inference algorithms
- model architecture variant
- text condition
- controlnet
- cfg, classifier-free guidance
- latent diffusion model
- image editing
References
[1] EfficientML.ai, Lecture 18: Diffusion Model, Song Han: https://www.youtube.com/watch?v=LK57PyOJWYk