CondDiff · SAR2EO

CondDiff (GRSL'23) retrained by the GeoSET authors on the SAR2EO split. These are the weights behind the CondDiff row for SAR2EO in Table 3 of the GeoSET paper (arXiv:2609.37496).

Method: Bai, Pu and Xu, "Conditional diffusion for SAR to optical image translation", GRSL 2023.
Implementation: Coordi777/Conditional-Diffusion-for-SAR-to-Optical-Image-Translation at commit 8326f54adf3a8d717792cb7abc7d3d2b7dfac565.
Training and inference code: baselines/conddiff in the GeoSET repository.

Files

File	Bytes	SHA-256	Role
`ema_final.pt`	657,495,287	`3fda16a002d04ce90156f8d101a5db2337c111c683c8c2673f443268800e5c3d`	UNet EMA (0.9999) weights at step 50,000 (256 × 256 model)

Results (GeoSET paper, Table 3)

SAR2EO test split: the first 4,000 of the 21,260 pairs of the E3Diff test split, 256 × 256.

FID↓	DISTS↓	KID↓	DINO↑	LPIPS↓	SSIM↑	PSNR↑
113.2	0.317	0.0639	0.461	0.551	0.334	11.12

Inference

git clone https://github.com/KAIST-VICLab/GeoSET && cd GeoSET
export BASELINES_ROOT=/path/to/upstream_code DATA_ROOT=/path/to/data WORK_DIR=/path/to/work CKPT_ROOT=/path/to/checkpoints
bash baselines/conddiff/fetch.sh
python baselines/data/diff_data.py conddiff sar2eo
hf download JeonghyeokDo/GeoSET --include "baselines/sar2eo/conddiff/*" --local-dir hf
mkdir -p $CKPT_ROOT/conddiff/sar2eo && cp hf/baselines/sar2eo/conddiff/ema_final.pt $CKPT_ROOT/conddiff/sar2eo/
bash baselines/conddiff/test.sh sar2eo        # writes $WORK_DIR/results/conddiff/sar2eo/<stem>.png
python scripts/evaluate.py --dataset sar2eo --pred-dir $WORK_DIR/results/conddiff/sar2eo

Licence

The CondDiff repository contains no licence file; it is derived from openai/guided-diffusion (MIT). These weights were trained by the GeoSET authors with that code; the GeoSET repository distributes only its changes to the code.