1. Mejjati, Y.A., Richardt, C., Tompkin, J., Cosker, D., Kim, K.I.: Unsupervised attention-guided image-to-image translation. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems 31, pp. 3693–3703. Curran Associates, Inc. (2018). http://papers.nips.cc/paper/7627-unsupervised-attention-guided-image-to-image-translation.pdf
2. Azadi, S., Pathak, D., Ebrahimi, S., Darrell, T.: Compositional GAN: Learning image-conditional binary composition (2019)
3. Brock, A., Donahue, J., Simonyan, K.: Large scale GAN training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096 (2018)
4. Chen, B., Kae, A.: Toward realistic image compositing with adversarial learning. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, 16–20 June 2019, pp. 8415–8424 (2019). https://doi.org/10.1109/CVPR.2019.00861. http://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Toward_Realistic_Image_Compositing_With_Adversarial_Learning_CVPR_2019_paper.html
5. Cheng, Y.C., Lee, H.Y., Sun, M., Yang, M.H.: Controllable image synthesis via segvae (2020)