Diffusion Meets Flow Matching
Flow matching and diffusion models are two popular frameworks in generative modeling. Despite seeming similar, there is some confusion in the community about their exact connection. In this post, we aim to clear up this confusion and show that <i>diffusion models and Gaussian flow matching are the same</i>, although different model specifications can lead to different network outputs and sampling schedules. This is great news, it means you can use the two frameworks interchangeably.
Diffusion Meets Flow Matching diffusion models and Gaussian flow matching are the same , although different model specifications can lead to different network outputs and sampling schedules. This is great news, it means you can use the two frameworks interchangeably." /> Diffusion Meets Flow Matching: Two Sides of the Same Coin Flow matching and diffusion models are two popular frameworks in generative modeling. Despite seeming similar, there is some confusion in the community about their exact connection. In this post, we aim to clear up this confusion and show that diffusion models and Gauss
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related reading
- Diffusion is spectral autoregression – Sander Dielemansander.ai
- What are Diffusion Models? | Lil'Loglilianweng.github.io
- Flow Matching Policy Gradientsflowreinforce.github.io
- What are Diffusion Models?lilianweng.github.io
- How I Understand Flow Matchingyoutube.com
- Learning the integral of a diffusion model – Sander Dielemansander.ai
- An Introduction to Flow Matching and Diffusion Modelsdiffusion.csail.mit.edu
- Flow Matching for Generative Modelingalphaxiv.org
- 6d13e085b79d454da5910e4ca82a3d9d-Paper-Conference.pdfproceedings.neurips.cc
- Is Your Conditional Diffusion Model Actually Denoising?arxiv.org
- Diffusion model - Wikipediaen.wikipedia.org
- Step-by-Step Diffusion: An Elementary Tutorialarxiv.org