## Image generation survey

- [A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions](https://arxiv.org/pdf/2308.13142.pdf)

- [On the Design Fundamentals of Diffusion Models: A Survey](https://arxiv.org/pdf/2306.04542.pdf)

### Adding control signals
- [GLIGEN: Open-Set Grounded Text-to-Image Generation](https://arxiv.org/pdf/2301.07093.pdf)

- [ReCo: Region-Controlled Text-to-Image Generation](https://arxiv.org/pdf/2211.15518.pdf)

- [Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/pdf/2302.05543.pdf)

### Generating multiple objects
- [Attention-Based Semantic Guidance for Text-to-Image Diffusion Models](https://arxiv.org/pdf/2301.13826.pdf)

### Image editing
- [Prompt-to-Prompt Image Editing
with Cross Attention Control](https://arxiv.org/pdf/2208.01626.pdf)

### SDE-based methods
- Basics of Ito diffusion equation, Kolmogorov forward/backward equation
[blog](https://ludwigwinkler.github.io/blog/)
- [Score-based generative modeling through Stochastic Differential Equations](https://arxiv.org/pdf/2011.13456.pdf)