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项目作者： BannyStone

项目描述 ：
List of latest papers on probabilistic diffusion models & score-based models.
高级语言：
项目地址: git://github.com/BannyStone/awesome-diffusion-models.git
创建时间： 2021-06-15T19:14:34Z
项目社区：https://github.com/BannyStone/awesome-diffusion-models
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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.