This repository is dedicated to collecting and sharing research papers on diffusion guidance methods.
| Title | Code | Date | Publication |
|---|---|---|---|
| Diffusion Models Beat GANs on Image Synthesis | Code | 2021.12 | NeurIPS 2021 |
| Classifier-Free Diffusion Guidance | N/A | 2021.12 | NeurIPS 2021 Workshop |
| Universal Guidance for Diffusion Models | Code | 2023.06 | CVPRW2023 |
| Improving Sample Quality of Diffusion Models Using Self-Attention Guidance | Code | 2023.10 | ICCV2023 |
| ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning | Code | 2024.02 | PMLR |
| Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale | Code | 2024.07 | ICML2024 |
| CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models | Code | 2024.09 | ArXiv |
| Guiding a Diffusion Model with a Bad Version of Itself | Code | 2025.01 | NeurIPS 2024 |
| TFG: Unified Training-Free Guidance for Diffusion Models | Code | 2025.01 | NeurIPS 2024 |
| Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models | Code | 2025.01 | NeurIPS 2024 |
If you have any relevant papers to add, please follow the guidelines below:
- Fork the repository.
- Create a new branch for your changes.
- Add your paper details in the paper section.
- Commit and push your changes.
- Open a pull request for review.
For any questions or suggestions, please contact [email protected].