Rectified flow offers an intuitive yet unified perspective on flow- and diffusion-based generative modeling. Also known as flow matching and stochastic interpolants, it has been increasingly used for state-of-the-art image, audio, and video generation, thanks to its simplicity and efficiency.
This series of tutorials on rectified flow addresses topics that are often sources of confusion and clarifies the connections with other methods.
For those eager to dive deeper, we provide:
- A comprehensive codebase for practical exploration.
- Lecture notes containing detailed theoretical derivations.
If you have questions regarding the blog posts, codebase, or notes, please feel free to reach out via this email.
