EvaNet: Towards More Efficient and Consistent Infrared and Visible Image Fusion Assessment

ArXi:2604.02896v1 Announce Type: new Evaluation is essential in image fusion research, yet most existing metrics are directly borrowed from other vision tasks without proper adaptation. These traditional metrics, often based on complex image transformations, not only fail to capture the true quality of the fusion results but also are computationally demanding. To address these issues, we propose a unified evaluation framework specifically tailored for image fusion.