A Degradation-Resistant Unfolding Network (DeRUN) for HIF (Heterogeneous image fusion) is a concept that unifies the interpretability of model-based methods and the generalizability of deep learning-based solutions. Extensive experiments have shown that DeRUN significantly outperforms existing methods on four HIF tasks as well as downstream applications using cheaper computational and memory costs.