Score-Based Generative Modeling

README.md

@@ -370,6 +370,7 @@ This is a two-semester-long course primarily designed for graduate students. How
 ## Generative Networks; Diffusion Models
 * Denoising Diffusion Probabilistic Models ([code](https://github.com/hojonathanho/diffusion))
 * Diffusion Models Beat GANs on Image Synthesis ([code](https://github.com/openai/guided-diffusion))
+* Score-Based Generative Modeling through Stochastic Differential Equations ([code](https://github.com/yang-song/score_sde))
 ## Advanced Topics; Domain Adaptation
 * Learning Transferable Features with Deep Adaptation Networks ([code](https://github.com/thuml/DAN))
 * Domain-Adversarial Training of Neural Networks ([code](https://github.com/ddtm/caffe/tree/grl))