The following publications are possibly variants of this publication:
- Detect and Remove Watermark in Deep Neural Networks via Generative Adversarial NetworksShichang Sun, Haoqi Wang, Mingfu Xue, Yushu Zhang, Jian Wang 0038, Weiqiang Liu. isw 2021: 341-357 [doi]
- SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial NetworksTongtong Che, Yuanjie Zheng, Yunshuai Yang, Sujuan Hou, Weikuan Jia, Jie Yang 0002, Chen Gong 0002. TIP, 30:6036-6049, 2021. [doi]
- Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless NetworksLiu Yang 0003, Yun Li 0001, Simon X. Yang, Yinzhi Lu, Tan Guo, Keping Yu. network, 36(4):134-140, 2022. [doi]
- MARS-GAN: Multilevel-Feature-Learning Attention-Aware Based Generative Adversarial Network for Removing Surgical SmokeTingxuan Hong, Pu Huang, Xiangyu Zhai, Changming Gu, Baolong Tian, Bin Jin, Dengwang Li. tmi, 42(8):2299-2312, 2023. [doi]
- Learning to Fuse Music Genres with Generative Adversarial Dual LearningZhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu. In Proceedings of the International Conference on Data Mining (ICDM). 2017:
- GAN-LM: Generative Adversarial Network using Language Models for Downstream ApplicationsDae-Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy, Renxian Zhang. inlg 2023: 69-79 [doi]