More Teachers Make Greater Students: Compression of CycleGAN

Author:

Liu Xiaoxi,Lv Lin,Liu Ju,Han Yanyang,Liang Mengnan,Jiang Xiao

Publisher

Springer Nature Switzerland

Reference27 articles.

1. Brock, A., Donahue, J., Simonyan, K.: Large scale gan training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096 (2018)

2. Li, S., Wu, J., Xiao, X., Chao, F., Mao, X., Ji, R.: Revisiting discriminator in gan compression: a generator-discriminator cooperative compression scheme. In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W. (eds.) Advances in Neural Information Processing Systems, vol. 34, pp. 28560–28572. Curran Associates, Inc. (2021)

3. Hu, T., Lin, M., You, L., Chao, F., Ji, R.: Discriminator-cooperated feature map distillation for gan compression. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20351–20360 (2023)

4. Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2017)

5. Chen, H., et al.: Distilling portable generative adversarial networks for image translation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 3585–3592 (2020)

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