以下是近几年经典的图像增强论文：
- Zhang, K., Van Der Maaten, L., & Chen, Z. (2017). Self-ensembling for visual domain adaptation. arXiv preprint arXiv:1706.05208.
- Lim, B., Son, S., Kim, H., Nah, S., & Lee, K. M. (2017). Enhanced deep residual networks for single image super-resolution. Proceedings of the IEEE conference on computer vision and pattern recognition workshops, 1132-1140.
- Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2018). Densely connected convolutional networks. Proceedings of the IEEE conference on computer vision and pattern recognition, 4700-4708.
- Wang, X., Yu, K., Wu, S., Guo Y., Liu C., Dong C.(2020) Deep Unfolding Network for Image Super-Resolution(arXiv preprint arXiv:2003.10428)
- Zhang,K ,Zhang,Z,Huang,S(2021). Multi-Scale Progressive Fusion Network For Realistic Image Enhancement .IEEE Transactions on Multimedia.
这些论文主要涵盖了图像增强领域的不同方向，包括域自适应、超分辨率和图像去噪等。
