Image-to-Image
Diffusers
Safetensors
sar-to-eo
remote-sensing
flow-matching
synthetic-aperture-radar
Instructions to use JeonghyeokDo/ReFlowSET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JeonghyeokDo/ReFlowSET with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JeonghyeokDo/ReFlowSET", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Cite C-DiffSET alongside ReFlowSET
Browse files
README.md
CHANGED
|
@@ -189,3 +189,14 @@ imagery that we flag rather than resolve.
|
|
| 189 |
year = {2026}
|
| 190 |
}
|
| 191 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 189 |
year = {2026}
|
| 190 |
}
|
| 191 |
```
|
| 192 |
+
|
| 193 |
+
Our earlier SAR-to-EO work, which ReFlowSET builds on and compares against:
|
| 194 |
+
|
| 195 |
+
```bibtex
|
| 196 |
+
@article{do2026cdiffset,
|
| 197 |
+
title = {C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation},
|
| 198 |
+
author = {Do, Jeonghyeok and Lee, Jaehyup and Lee, Seungchul and Kim, Munchurl},
|
| 199 |
+
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
|
| 200 |
+
year = {2026}
|
| 201 |
+
}
|
| 202 |
+
```
|