Image generation is an exciting and rapidly evolving field in the remote sensing community. Advances in generative models are enabling new possibilities, including:
- Super-resolution: Enhancing the spatial resolution of satellite imagery.
- Image translation: Converting images between different sensors, modalities, or domains.
- Harmonization: Aligning and standardizing data from diverse sources.
- Training data augmentation: Synthesizing training datasets.
- And more!
This repository serves as a collection of available image generation models and resources specifically tailored for remote sensing applications. Whether you are a researcher, practitioner, or enthusiast, you will find references and guidance to help you get started or stay up to date.
| Name | Model | Resources | Publication | Checkpoints | Inference Code | Training Code | Checkpoint URL |
|---|---|---|---|---|---|---|---|
| CFSG-RS | 🌫 DIFFUSION | link | link | ✓ | ✓ | ✓ | |
| CRS-Diff | 🌫 DIFFUSION | link | link | ✓ | ✓ | ✓ | |
| DiffusionSat | 🌫 DIFFUSION | link | link | ✓ | ✓ | ✓ | link |
| Earth Intelligence Engine | ⚔ GAN | link | link | ✗ | ✗ | ✓ | link |
| EarthSynth | 🌫 DIFFUSION | link | link | ✓ | ✓ | ✓ | link |
| GeoSynth | 🌫 DIFFUSION | link | link | ✓ | ✓ | ✓ | link |
| MetaEarth | 🌫 DIFFUSION | link | link | ✗ | ✗ | ✗ | |
| S2GAN | ⚔ GAN | link | ✗ | ✗ | ✗ | ||
| SatDM | 🌫 DIFFUSION | link | link | ✓ | ✓ | ✓ | link |
| Seg2Sat | 🌫 DIFFUSION | link | ✓ | ✓ | ✗ |
If you know of a model, I am missing or if I need to update the colletion, please open an issue or let me know. Your suggestions and contributions are very welcome! Help us keep this repository comprehensive and useful for the community.
- Collect: Gather available image generation models relevant to remote sensing.
- Share: Make it easy for others to find, use, and compare models.
- Update: Stay current as new models, datasets, and techniques emerge.
Have a suggestion, correction, or new model to share? Open an issue or pull request!