| # Cloud Removal Visualization & Evaluation | |
| Benchmark evaluation workspace for the **DiffCR** paper | |
| (*Diffusion-Based Cloud Removal for Sentinel-2 Multi-Temporal Imagery*). | |
| Two test datasets are covered: | |
| | Dataset | Samples | Methods | | |
| |---|---|---| | |
| | Sen2\_MTC\_Old | 313 | 12 | | |
| | Sen2\_MTC\_New | 687 | 12 | | |
| --- | |
| ## Directory Layout | |
| ``` | |
| visualization/ | |
| ├── paper-report.png ← reference metrics table from the paper | |
| │ | |
| ├── data/ | |
| │ ├── Sen2_MTC_New/ | |
| │ │ ├── GT/ ← 687 cloud-free ground-truth images ({id}.png) | |
| │ │ └── inputs/ ← 687 × 3 cloudy input images | |
| │ │ ({id}_A1.png {id}_A2.png {id}_A3.png) | |
| │ └── Sen2_MTC_Old/ | |
| │ ├── GT/ ← 313 ground-truth images | |
| │ └── inputs/ ← 313 × 3 cloudy inputs | |
| │ | |
| ├── results/ | |
| │ ├── Sen2_MTC_New/ | |
| │ │ ├── ae/ ← prediction images for each method ({id}.png) | |
| │ │ ├── crtsnet/ | |
| │ │ ├── ctgan/ | |
| │ │ ├── ddpmcr/ | |
| │ │ ├── diffcr/ ← DiffCR [Ours] | |
| │ │ ├── dsen2cr/ | |
| │ │ ├── mcgan/ | |
| │ │ ├── pix2pix/ | |
| │ │ ├── pmaa/ | |
| │ │ ├── stgan/ | |
| │ │ ├── stnet/ | |
| │ │ └── uncrtaints/ | |
| │ └── Sen2_MTC_Old/ | |
| │ └── (same 12 methods) | |
| │ | |
| └── eval/ | |
| ├── metrics.py ← PSNR / SSIM / FID / LPIPS evaluation | |
| ├── plot.py ← comparison figure generation | |
| └── requirements.txt ← Python dependencies | |
| ``` | |
| --- | |
| ## Quick Start | |
| ### 1. Install dependencies | |
| ```bash | |
| pip install -r eval/requirements.txt | |
| ``` | |
| > **CUDA note** – SSIM uses the 3-D Gaussian kernel from the paper, which | |
| > requires a CUDA-enabled PyTorch installation to reproduce the exact paper | |
| > values. PSNR, FID and LPIPS are fully reproducible on CPU. | |
| > Install the correct torch wheel for your GPU from https://pytorch.org. | |
| --- | |
| ### 2. Run evaluation | |
| ```bash | |
| # Evaluate all 12 methods on both datasets (prints a full summary table): | |
| python eval/metrics.py | |
| # One specific method: | |
| python eval/metrics.py --method diffcr | |
| # One specific dataset: | |
| python eval/metrics.py --dataset Sen2_MTC_New | |
| # One method + one dataset: | |
| python eval/metrics.py --dataset Sen2_MTC_Old --method diffcr | |
| # Fast check (skip FID and LPIPS): | |
| python eval/metrics.py --no-fid --no-lpips | |
| # Arbitrary directory pair: | |
| python eval/metrics.py --gt /path/to/GT --pred /path/to/Out | |
| ``` | |
| Expected output (excerpt, requires CUDA for exact SSIM): | |
| ``` | |
| Method | Sen2_MTC Old | Sen2_MTC New | |
| | PSNR SSIM FID LPIPS | PSNR SSIM FID LPIPS | |
| -------------------------------------------------------------------------------- | |
| ... | |
| diffcr | 29.112 0.886 89.845 0.258 | 19.150 0.671 83.162 0.291 | |
| ``` | |
| --- | |
| ### 3. Generate comparison figures | |
| ```bash | |
| # Generate the exact figures used in the paper: | |
| python eval/plot.py --paper-samples | |
| # Paper figures for one dataset: | |
| python eval/plot.py --paper-samples --dataset Sen2_MTC_New | |
| python eval/plot.py --paper-samples --dataset Sen2_MTC_Old | |
| # Any specific sample: | |
| python eval/plot.py --dataset Sen2_MTC_New --id T12TUR_R027_55 | |
| # List all available sample IDs: | |
| python eval/plot.py --dataset Sen2_MTC_New --list | |
| # Generate figures for every sample: | |
| python eval/plot.py --dataset Sen2_MTC_New --all | |
| ``` | |
| Figures are saved as PDF to `eval/plots/` by default. | |
| --- | |
| ## Methods | |
| | Method | Venue | Abbrev | | |
| |---|---|---| | |
| | MCGAN | CVPRW 2017 | mcgan | | |
| | Pix2Pix | CVPR 2017 | pix2pix | | |
| | AE | ECTI-CON 2018 | ae | | |
| | STNet | TGRS 2020 | stnet | | |
| | DSen2-CR | ISPRS J PHOTOGRAM 2020 | dsen2cr | | |
| | STGAN | WACV 2020 | stgan | | |
| | CTGAN | ICIP 2022 | ctgan | | |
| | CR-TS-Net | TGRS 2022 | crtsnet | | |
| | PMAA | arXiv 2023 | pmaa | | |
| | UnCRtainTS | CVPRW 2023 | uncrtaints | | |
| | DDPM-CR | Remote Sensing 2023 | ddpmcr | | |
| | **DiffCR [Ours]** | **TGRS 2024** | **diffcr** | | |
| --- | |
| ## Paper Results | |
|  | |
| --- | |
| ## Notes | |
| - All images use the unified naming scheme `{id}.png` (GT and predictions) | |
| and `{id}_A{1,2,3}.png` (cloudy inputs). | |
| - `results/Sen2_MTC_Old/diffcr/` images are stored in their original | |
| coordinate convention; `eval/plot.py` applies a horizontal flip | |
| automatically when rendering the Old-dataset comparison figure so that | |
| all panels share a consistent visual orientation. | |
| - `migrate.py` in the project root was the one-time script used to produce | |
| the current layout from the original raw experiment directories. | |
| It is kept for reference but does not need to be re-run. |