المفاهيم الأساسية
Existing deep learning models for image restoration struggle to generalize to real-world scenarios with complex and unknown degradations. This paper proposes a new research problem – General Image Restoration (GIR) – aiming to develop a unified model capable of handling diverse image restoration challenges.
Kong, X., Gu, J., Liu, Y., Zhang, W., Chen, X., Qiao, Y., & Dong, C. (2024). A Preliminary Exploration Towards General Image Restoration. arXiv preprint arXiv:2408.15143v2.
This paper introduces the novel concept of General Image Restoration (GIR), aiming to address the limitations of current image restoration models that struggle with real-world image degradations. The authors propose a framework for defining, evaluating, and benchmarking GIR models.