README: IEEE GRSL 2026; prior and follow-up work

README.md

@@ -12,12 +12,12 @@ tags:
 base_model: black-forest-labs/FLUX.2-klein-base-4B
 ---
 
-# ReFlowSET
+# [IEEE GRSL 2026] ReFlowSET
 
 SAR-to-EO image translation with a conditional flow-matching transformer trained
 from scratch inside a frozen high-fidelity autoencoder latent space.
 
-- **Paper:** https://arxiv.org/abs/2609.00968
+- **Paper:** IEEE Geoscience and Remote Sensing Letters (GRSL), 2026 ([arXiv:2609.00968](https://arxiv.org/abs/2609.00968))
 - **Code:** https://github.com/KAIST-VICLab/ReFlowSET
 - **Project page:** https://kaist-viclab.github.io/ReFlowSET_site/
 - **Comparison-method weights:** [`baselines/`](https://huggingface.co/JeonghyeokDo/ReFlowSET/tree/main/baselines) in this repository — all fifteen prior methods, both datasets
@@ -192,18 +192,35 @@ imagery that we flag rather than resolve.
 @article{do2026reflowset,
   title   = {ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation},
   author  = {Do, Jeonghyeok and Lee, Seungchul and Kim, Munchurl},
-  journal = {arXiv preprint arXiv:2609.00968},
-  year    = {2026}
+  journal={IEEE Geoscience and Remote Sensing Letters},
+  year={2026},
+  publisher={IEEE}
 }
 ```
 
-Our earlier SAR-to-EO work, which ReFlowSET builds on and compares against:
+### Prior work
+
+**[C-DiffSET](https://github.com/KAIST-VICLab/C-DiffSET)** ([project page](https://kaist-viclab.github.io/C-DiffSET_site/)), IEEE TCSVT 2026: SAR-to-EO translation with latent diffusion. ReFlowSET builds on it and compares against it.
 
 ```bibtex
 @article{do2026cdiffset,
-  title   = {C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation},
-  author  = {Do, Jeonghyeok and Lee, Jaehyup and Lee, Seungchul and Kim, Munchurl},
-  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
-  year    = {2026}
+  title={C-diffset: Leveraging latent diffusion for sar-to-eo image translation with confidence-guided reliable object generation},
+  author={Do, Jeonghyeok and Lee, Jaehyup and Lee, Seungchul and Kim, Munchurl},
+  journal={IEEE Transactions on Circuits and Systems for Video Technology},
+  year={2026},
+  publisher={IEEE}
+}
+```
+
+### Follow-up work
+
+**[GeoSET](https://github.com/KAIST-VICLab/GeoSET)** ([project page](https://kaist-viclab.github.io/GeoSET_site/)), arXiv 2026: generalist foundation model for SAR-to-EO translation.
+
+```bibtex
+@article{do2026geoset,
+  title={GeoSET: Generalist Foundation Model for SAR-to-EO Image Translation},
+  author={Do, Jeonghyeok and Kim, Munchurl},
+  journal={arXiv preprint arXiv:2609.37496},
+  year={2026}
 }
 ```

baselines/README.md

@@ -302,9 +302,10 @@ If you use this benchmark or any of these weights, please cite ReFlowSET:
 ```bibtex
 @article{do2026reflowset,
   title   = {ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation},
-  author  = {Jeonghyeok Do<sup>1</sup>, Seungchul Lee<sup>2</sup>, Munchurl Kim<sup>1*</sup>},
-  journal = {arXiv preprint arXiv:2609.00968},
-  year    = {2026}
+  author  = {Do, Jeonghyeok and Lee, Seungchul and Kim, Munchurl},
+  journal={IEEE Geoscience and Remote Sensing Letters},
+  year={2026},
+  publisher={IEEE}
 }
 ```