| license: cc-by-4.0 | |
| library_name: pytorch | |
| tags: | |
| - remote-sensing | |
| - super-resolution | |
| - denoising | |
| - sentinel-2 | |
| - major-tom | |
| pipeline_tag: image-to-image | |
| # Pulchra-Small | |
| Joint **denoising + 3× super-resolution** (noisy 30 m RGB → clean 10 m RGB). | |
| - **Train:** [Major-TOM/Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) | |
| - **Eval:** [SatClean-Bench](https://huggingface.co/datasets/NoraResearchLab/SatClean-Bench) | |
| ## SatClean-Bench results | |
| | Level | PSNR | SSIM | LPIPS | | |
| |-------|------|------|-------| | |
| | 1 | 29.523 | 0.7343 | 0.4860 | | |
| | 2 | 28.300 | 0.7087 | 0.5260 | | |
| | 3 | 24.749 | 0.6612 | 0.6528 | | |
| Bicubic (level 2) PSNR: **20.773** | |
| ## Maintainer | |
| **NORA Research Lab** | |
| [Website](https://noraresearchlab.site) · [GitHub](https://github.com/Nora-Research-Lab) · [HF](https://huggingface.co/NoraResearchLab) · [LinkedIn](https://www.linkedin.com/company/nora-research-lab) · [X](https://x.com/noraresearchlab) |