XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: NIPS (2014)

2014

Earlier work this paper cites.

Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: ICLR (2015)

2015

Earlier work this paper cites.

Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)

2015

Earlier work this paper cites.

Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition. In: BMVC (2015)

2015

Earlier work this paper cites.

Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: A unified embedding for face recognition and clustering. In: CVPR (2015)

2015

Earlier work this paper cites.

Bousmalis, K., Trigeorgis, G., Silberman, N., Krishnan, D., Erhan, D.: Domain separation networks. In: NIPS (2016)

2016

Earlier work this paper cites.

Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V.: Domain-adversarial training of neural networks. Journal of Machine Learning Research (2016)

2016

Earlier work this paper cites.

Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: CVPR (2016)

2016

Earlier work this paper cites.

Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: ECCV (2016)

2016

Earlier work this paper cites.

Larsen, A.B.L., Sønderby, S.K., Winther, O.: Autoencoding beyond pixels using a learned similarity metric. In: ICML (2016)

2016

Cited alongside, same era.

Li, C., Wand, M.: Combining Markov random fields and convolutional neural networks for image synthesis. In: CVPR (2016)

2016

Cited alongside, same era.

Liu, M.Y., Tuzel, O.: Coupled generative adversarial networks. In: NIPS (2016)

2016

Cited alongside, same era.

Zhang, R., Isola, P., Efros, A.A.: Colorful image colorization. In: ECCV (2016)

2016

Cited alongside, same era.

Bousmalis, K., Silberman, N., Dohan, D., Erhan, D., Krishnan, D.: Unsupervised pixel-level domain adaptation with generative adversarial networks. In: CVPR (2017)

2017

Cited alongside, same era.

Liao, J., Yao, Y., Yuan, L., Hua, G., Kang, S.B.: Visual attribute transfer through deep image analogy. ACM Transactions on Graphics (2017)

2017

Closest in time.

Liu, M., Breuel, T., Kautz, J.: Unsupervised image-to-image translation networks. In: NIPS (2017)

2017

Closest in time.

Shrivastava, A., Pfister, T., Tuzel, O., Susskind, J., Wang, W., Webb, R.: Learning from simulated and unsupervised images through adversarial training. In: CVPR (2017)

2017

Closest in time.

Taigman, Y., Polyak, A., Wolf, L.: Unsupervised cross-domain image generation. In: ICLR (2017)

2017

Closest in time.

Wolf, L., Taigman, Y., Polyak, A.: Unsupervised creation of parameterized avatars. In: ICCV (2017)

2017

Closest in time.