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
Add the arXiv id: 2609.00968
Browse files- baselines/README.md +1 -1
baselines/README.md
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@@ -303,7 +303,7 @@ If you use this benchmark or any of these weights, please cite ReFlowSET:
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@article{do2026reflowset,
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title = {ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation},
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author = {Jeonghyeok Do<sup>1</sup>, Seungchul Lee<sup>2</sup>, Munchurl Kim<sup>1*</sup>},
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-
journal = {arXiv preprint arXiv:
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year = {2026}
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}
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```
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@article{do2026reflowset,
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title = {ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation},
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author = {Jeonghyeok Do<sup>1</sup>, Seungchul Lee<sup>2</sup>, Munchurl Kim<sup>1*</sup>},
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+
journal = {arXiv preprint arXiv:2609.00968},
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year = {2026}
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}
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```
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