Generative Models
Self-Attention Guidance
Introduced by Hong et al. in Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Anatomy | 1 | 9.09% |
| Multiple Instance Learning | 1 | 9.09% |
| whole slide images | 1 | 9.09% |
| Video Generation | 1 | 9.09% |
| Evolutionary Algorithms | 1 | 9.09% |
| Outlier Detection | 1 | 9.09% |
| Decision Making | 1 | 9.09% |
| Active Learning | 1 | 9.09% |
| Node Classification | 1 | 9.09% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
