https://docs.google.com/presentation/d/1eudq6-63K17vow3ZMZ60-Zh_fhjkasFnBF6aDrVQRa0/edit#slide=id.g2671022ee37_0_19

1. Palette: Image-to-Image Diffusion Models
2. Classifier-Free Diffusion Guidance
3. Denoising Diffusion Probabilistic Models
4. Denoising Diffusion Implicit Models
5. Diffusion Models Beat GANs on Image Synthesis
6. Improved Denoising Diffusion Probabilistic Models
7. D3AD: Dynamic Denoising Diffusion Probabilistic Model for Anomaly Detection
8. DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
9. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
10. Anomaly Detection with Conditioned Denoising Diffusion Models
11. High-Resolution Image Synthesis with Latent Diffusion Models