Awesome-Diffusion-papers

Base

• Deep Unsupervised Learning using Nonequilibrium Thermodynamics (2015)
  [paper]

• Denoising Diffusion Probabilistic Models (2020)
  [paper]

• Improved Denoising Diffusion Probabilistic Models (2021)
  [paper] [github]

• Diffusion Models Beat GANs on Image Synthesis (2021)
  [paper] [github]

• Classifier-Free Diffusion Guidance (2022)
  [paper]

• Variational Diffusion Models (2021)
  [paper] [github]

• Elucidating the Design Space of Diffusion-Based Generative Models (2022)
  [paper] [github]

• High-Resolution Image Synthesis with Latent Diffusion Models (2021) [paper] [github 1] [github2] [project]

Score

• Generative Modeling by Estimating Gradients of the Data Distribution (2019)
  [paper] [github]

• Improved Techniques for Training Score-Based Generative Models (2020)
  [paper] [github]

• Score-Based Generative Modeling through Stochastic Differential Equations (2020)
  [paper] [github]

Sampling

• Denoising Diffusion Implicit Models (2020)
  [paper]

• Progressive Distillation for Fast Sampling of Diffusion Models (2022)
  [paper]

• On Distillation of Guided Diffusion Models (2022)
  [paper]

Super Resolution

• Image Super-Resolution via Iterative Refinement (2021)
  [paper] [project]

• Cascaded Diffusion Models for High Fidelity Image Generation (2021)
  [paper] [project]

Text-to-Iamge

• GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models (2021)
  [paper]

• Hierarchical Text-Conditional Image Generation with CLIP Latents (2022) [paper] [project]

• Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (2022)
  [paper] [project]

Discrete

• Structured Denoising Diffusion Models in Discrete State-Spaces (2021)
  [paper]

• Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes (2021)
  [paper] [github] [project]