Awesome Diffusion Models

This repo contains a list of papers on diffusion probabilistic models and score-based models.

Publications

1. ICML 2015 - Deep Unsupervised Learning using Nonequilibrium Thermodynamics by J. Sohl-Dickstein et al.
2. NeurIPS 2020 - Denoising Diffusion Probabilistic Models by J. Ho et al.
3. NeurIPS 2019 - Generative Modeling by Estimating Gradients of the Data Distribution by Y. Song et al.
4. NeurIPS 2020 - Improved Techniques for Training Score-Based Generative Models by Y. Song et al.
5. ICML 2021 - Improved Denoising Diffusion Probabilistic Models by A. Nichol et al.
6. May 11, 2021 - Diffusion Models Beat GANs on Image Synthesis by P. Dhariwal et al.
7. ICLR 2021 - Score-Based Generative Modeling through Stochastic Differential Equations by Y. Song et al.
8. Jul, 2021 - Variational Diffusion Models by D. Kingma et al.