✅ -> finished reading ❌ -> not yet finished reading

Diffusion

Understanding Diffusion Models: A Unified Perspective from Calvin Luo. ✅

• Detailed formula derivation for Denoising Diffusion Probabilistic Model (DDPM) and Variational Diffusion Model (VDM)

• Connection between VDM and score-based generative models

• Conditional generation (Classifier Guidance and Classifier-free Guidance)

What are Diffusion Models? from Lilian Weng.

• DDPM ✅
• DDIM ❌
• Diffusion Speed-up: Progressive Distillation ❌ , Consistency Models ❌ , LDM ✅
• Scale-up Generation: Cascaded Diffusion Models ✅, unCLIP ❌
• Model Architecture: U-Net ✅, ControlNet ❌ , DiT ✅

Generative Modeling by Estimating Gradients of the Data Distribution from Yang Song.

• Naive score-based generative modeling and its pitfalls ✅
• Score-based generative modeling with multiple noise perturbations ✅
• Score-based generative modeling with stochastic differential equations (SDEs) ❌