Pulchra-Small weights (Major-TOM train, SatClean-Bench eval)

README.md

@@ -0,0 +1,34 @@
+---
+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)

pulchra_best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34ff5e7976f78ee7734f5a0a489eab05eef83bc323354d50b13e450ee870c50d
+size 54546964

pulchra_best.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1f9a5777350cd660185f5459b0fe5dfc224e6cd12c8807b89263a350142a53e
+size 108990812

pulchra_final.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04d442068557a16870ae8df5a8129bc40ad9c0664c167321a5a22a6ec9962317
+size 109040151

pulchra_last.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f718c306c1622020e5481a3bb5ffa5a1aa3c9721d2ca0761d4d7c09d3793045
+size 436196053