References
- Yang F, Ren J, Lu Z, et al. Rain-component-aware capsule-GAN for single image de-raining [J]. Pattern Recognition: The Journal of the Pattern Recognition Society, 2022(123-).
- Wei Y, Zhang Z, Zhang H, et al. A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining [J]. IEEE, 2019.
- Porres I, Ahmad T, Rexha H, et al. Automatic exploratory performance testing using a discriminator neural network[C]// 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2020.
- Yu C, Chang Y, Li Y, et al. Unsupervised Image Deraining: Optimization Model Driven Deep CNN[C]// MM '21: ACM Multimedia Conference. ACM, 2021.
- Lin X, Huang Q, Huang W, et al. Single Image Deraining via detail-guided Efficient Channel Attention Network [J]. Computers & Graphics, 2021, 97(2).
- Yang W, Tan R T, Feng J, et al. Deep Joint Rain Detection and Removal from a Single Image [J]. 2016.
- Sakaridis, Christos, Dai, et al. Semantic Foggy Scene Understanding with Synthetic Data [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2018, 126(9):973–992.
- Tang K, Yang J, Wang J. Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing[C]// Computer Vision & Pattern Recognition. IEEE, 2014.
- Mao X, Li Q, Xie H, et al. Least Squares Generative Adversarial Networks [J]. 2016.
- Wang Z, Chen J, Hoi S. Deep Learning for Image Super-resolution: A Survey [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, PP (99):1–1.