Flow matching
Part of Generative modeling methods
Flow matching is gaining ground in AI research: 0.2% to 0.3% of new AI papers, +0.0 points. It ranks #51 of 214 by gain in share. As of Oct 10, 2026.
- Change in share
- +0.0 pts
- Share, last 3 months
- 0.3%
- Papers, last 3 months
- 85
- Ready for products
- 2.4 / 5
More in Generative modeling methods
Generative adversarial network0.0% → 0.0%0.0 ptsDiffusion guidance0.1% → 0.1%0.0 ptsConditional variational autoencoder0.0% → 0.0%0.0 ptsDiffusion sampling0.2% → 0.1%0.0 ptsNormalizing flow0.0% → 0.0%0.0 ptsEnergy based model0.0% → 0.0%0.0 ptsConditional flow matching0.0% → 0.0%0.0 ptsControllable text generation0.0% → 0.0%0.0 ptsRectified flow0.0% → 0.0%0.0 ptsClassifier free guidance0.0% → 0.0%0.0 pts
Flow matching: quick answers
Yes. Its share of new AI papers went from 0.2% to 0.3%, with 85 papers in the last 3 months.