🔥 SmokeBench: A Real-World Dataset for Surveillance Image Desmoking in Early-Stage Fire Scenes [ACM MM 2025 Datasets Track]
Wenzhuo Jin* 1, Qianfeng Yang* 2,Xianhao Wu* 3, Hongming Chen 4, Pengpeng Li 5, Xiang Chen 5
Beijing Jiaotong University1, Dalian Polytechnic University2, Nanjing University of Aeronautics and Astronautics3, Dalian Martime University4, Nanjing University of Science and Technology5
[Paper]
👉️ Welcome to visit our website (专注底层视觉领域的信息服务平台) for low-level vision:https://lowlevelcv.com/
- ✔ Release the dataset
- ✔ Release the visual results
| Download Link | Description |
|---|---|
| Google Drive / Baidu Netdisk (refs) | Tran: 9,875 pairs. Test: 100 pairs. |
We provide evaluation code (Python Code) to assess PSNR, SSIM, and LPIPS results. You need to set the parameters --generated_images_path, --target_path, and --Score_save_path.
If WeatherBench is helpful for you, please help star the GitHub Repo. Thanks!
| Method | Download Link |
|---|---|
| FFA-Net | Google Drive / Baidu Netdisk (6666) |
| MPRNet | Google Drive / Baidu Netdisk (6666) |
| Restormer | Google Drive / Baidu Netdisk (6666) |
| Uformer | Google Drive / Baidu Netdisk (6666) |
| DehazeFormer | Google Drive / Baidu Netdisk (6666) |
| MB-TaylorFormer | Google Drive / Baidu Netdisk (6666) |
| X-Restormer | Google Drive / Baidu Netdisk (6666) |
| MambaIR | Google Drive / Baidu Netdisk (6666) |
@article{jin2025smokebench,
title={SmokeBench: A Real-World Dataset for Surveillance Image Desmoking in Early-Stage Fire Scenes},
author={Jin, Wenzhuo and Yang, Qianfeng and Wu, Xianhao and Chen, Hongming and Li, Pengpeng and Chen, Xiang},
journal={arXiv preprint arXiv:2509.12701},
year={2025}
}
If you have any questions, please feel free to contact [email protected] or [email protected].


