1. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein Generative Adversarial Networks. Proceedings of the 34th International Conference on Machine Learning, 214–223. https://proceedings.mlr.press/v70/arjovsky17a.html.
2. Filling-in by joint interpolation of vector fields and gray levels;Ballester;IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society,2001
3. PatchMatch: A randomized correspondence algorithm for structural image editing;Barnes;ACM Transactions on Graphics,2009
4. Classification with a reject option using a hinge loss;Bartlett;The Journal of Machine Learning Research,2008
5. Brock, A., Donahue, J., & Simonyan, K. (2019). Large scale GAN training for high fidelity natural image synthesis. ArXiv:1809.11096 [Cs, Stat]. http://arxiv.org/abs/1809.11096.