The following publications are possibly variants of this publication:
- DFC-dehaze: an improved cycle-consistent generative adversarial network for unpaired image dehazingShibin Wang, Xueshu Mei, Pengshuai Kang, Yan Li, Dong Liu. vc, 40(4):2807-2818, April 2024. [doi]
- Overwater Image Dehazing via Cycle-Consistent Generative Adversarial NetworkShunyuan Zheng, Jiamin Sun, Qinglin Liu, Yuankai Qi, Shengping Zhang. ACCV 2021: 251-267 [doi]
- Image Dehazing Via Cycle Generative Adversarial NetworkChangyou Shi, Jianping Lu, Qiang Sun, Shiliang Cheng, Xin Feng, Wei Huang. aiss 2021: [doi]
- Image dehazing method via a cycle generative adversarial networkChao-Yue Zhao, Ruisheng Jia, Qing-Ming Liu, Hong-mei Sun, Hai-bin Sun. iet-ipr, 14(16):4240-4247, 2020. [doi]
- Dehaze-AGGAN: Unpaired Remote Sensing Image Dehazing Using Enhanced Attention-Guide Generative Adversarial NetworksYitong Zheng, Jia Su, Shun Zhang, Mingliang Tao, Ling Wang. tgrs, 60:1-13, 2022. [doi]
- Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image InformationChao Tang, Jie Li, Linyuan Wang 0001, Ziheng Li, Lingyun Jiang, Ailong Cai, Wenkun Zhang, Ningning Liang, Lei Li, Bin Yan. cmmm, 2019, 2019. [doi]
- Unsupervised Image Dedusting via a Cycle-Consistent Generative Adversarial NetworkGuXue Gao, Huicheng Lai, Zhenhong Jia. remotesensing, 15(5):1311, March 2023. [doi]
- Attention mechanism enhancement algorithm based on cycle consistent generative adversarial networks for single image dehazingYan Liu, Hassan Al-Shehari, Hongying Zhang. jvcir, 83:103434, 2022. [doi]
- FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image DehazingYu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao. AAAI 2020: 10729-10736 [doi]