Subject
Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems
Reference51 articles.
1. Bau, D., Zhu, J.-Y., Strobelt, H., Zhou, B., Tenenbaum, J. B., Freeman, W. T., et al. (2019). GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. In International conference on learning representations.
2. Cha, M., Gwon, Y., & Kung, H. T. (2019). Adversarial Learning of Semantic Relevance in Text to Image Synthesis. In The association for the advance of artificial intelligence.
3. Chen, Y., Lai, Y.-K., & Liu, Y.-J. (2018). CartoonGAN: Generative Adversarial Networks for Photo Cartoonization. In 2018 IEEE/CVF conference on computer vision and pattern recognition (pp. 9465–9474).
4. Chen, T.-H., Liao, Y.-H., Chuang, C.-Y., Hsu, W.-T., Fu, J., & Sun, M. (2017). Show, adapt and tell: Adversarial training of cross-domain image captioner. In Proceedings of the IEEE international conference on computer vision (pp. 521–530).
5. Choi, Y., Choi, M.-J., Kim, M., Ha, J.-W., Kim, S., & Choo, J. (2017). StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation. In 2018 IEEE/CVF conference on computer vision and pattern recognition (pp. 8789–8797).
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