This is the offical implementation for the paper titled "EvaNet: Towards More Efficient and Consistent Infrared and Visible Image Fusion Assessment"(Arxiv, Paper).
- Apr 03, 2026 Our paper has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
- Apr 14, 2026 The online evaluation platform EvaJudge is now available: 👉 http://evanet.online:5001
- Apr 21, 2026 Results of TDFusion (CVPR 2025) have been added to the Public Leaderboard.
- Apr 21, 2026 (v1.1.3) Support visualization: click a method name to view its fusion examples.
EvaJudge is an online evaluation platform for infrared and visible image fusion, powered by EvaNet. It enables fast, consistent, and zero-setup evaluation of fusion results.
You are welcome to submit your papers, results, and model weights for inclusion in the Public Leaderboard.
📮Email: chunyang_cheng@jiangnan.edu.cn ☎️WeChat: chengchunyang2016
- Register an account here.
- Log in and select a dataset (e.g., LLVIP, MSRS).
- Upload your fusion results as a
.zipfile. - The system will automatically evaluate your results and return a full set of metrics within seconds.
- The uploaded file must be a
.ziparchive. - The archive should contain only fused images (no subfolders).
- File names must correspond to the dataset image indices (e.g.,
1.jpg,2.jpg, ...,N.jpg).
- Registration is restricted to institutional (organization-affiliated) email addresses only (e.g., university or company domains).
If this work is helpful to you, please cite it as:
@article{ChengEvaNetTPAMI2026,
author={Cheng, Chunyang and Xu, Tianyang and Wu, Xiao-Jun and Zhou, Tao and Li, Hui and Tang, Zhangyong and Kittler, Josef},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={EvaNet: towards More Efficient and Consistent Infrared and Visible Image Fusion Assessment},
year={2026},
volume={},
number={},
pages={1-18},
keywords={Image fusion;quality assessment;efficient;unified;large language model},
doi={10.1109/TPAMI.2026.3681958}}