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Image-to-image translation aims to learn the mapping between two visual domains.
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE (1998)
1998
Earlier work this paper cites.
Hinterstoisser, S., Lepetit, V., Ilic, S., Holzer, S., Bradski, G., Konolige, K., Navab, N.: Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes. In: ACCV (2012)
2012
Earlier work this paper cites.
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., Rezende, D., Mohamed, S.J., Welling, M.: Semi-supervised learning with deep generative models. In: NIPS (2014)
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Yu, A., Grauman, K.: Fine-grained visual comparisons with local learning. In: CVPR (2014)
2014
Earlier work this paper cites.
Cheung, B., Livezey, J.A., Bansal, A.K., Olshausen, B.A.: Discovering hidden factors of variation in deep networks. In: ICLR workshop (2015)
2015
Earlier work this paper cites.
Ganin, Y., Lempitsky, V.: Unsupervised domain adaptation by backpropagation. In: ICML (2015)
2015
Earlier work this paper cites.
Kinga, D., Adam, J.B.: A method for stochastic optimization. In: ICLR (2015)
2015
Earlier work this paper cites.
Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: ICCV (2015)
2015
Earlier work this paper cites.
Wohlhart, P., Lepetit, V.: Learning descriptors for object recognition and 3d pose estimation. 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.
Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets. 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. JMLR (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. JMLR (2016)
2016
Earlier work this paper cites.
Larsson, G., Maire, M., Shakhnarovich, G.: Learning representations for automatic colorization. In: ECCV (2016)
2016
Earlier work this paper cites.
Li, Y., Huang, J.B., Ahuja, N., Yang, M.H.: Deep joint image filtering. In: ECCV (2016)
2016
Earlier work this paper cites.
Makhzani, A., Shlens, J., Jaitly, N., Goodfellow, I., Frey, B.: Adversarial autoencoders. In: ICLR workshop (2016)
2016
Cited alongside, same era.
Mathieu, M., Zhao, J., Sprechmann, P., Ramesh, A., LeCun, Y.: Disentangling factors of variation in deep representation using adversarial training. In: NIPS (2016)
2016
Cited alongside, same era.
Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. In: ICLR (2016)
2016
Cited alongside, same era.
Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. In: ICML (2016)
2016
Cited alongside, same era.
Sun, B., Feng, J., Saenko, K.: Return of frustratingly easy domain adaptation. In: AAAI (2016)
2016
Cited alongside, same era.
Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., Lerer, A.: Automatic differentiation in pytorch. In: NIPS workshop (2017)
2017
Later among the works it cites.
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
Later among the works it cites.
Taigman, Y., Polyak, A., Wolf, L.: Unsupervised cross-domain image generation. In: ICLR (2017)
2017
Later among the works it cites.
Yi, Z., Zhang, H.R., Tan, P., Gong, M.: Dualgan: Unsupervised dual learning for image-to-image translation. In: ICCV (2017)
2017
Later among the works it cites.
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: ICCV (2017)
2017
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Vondrick, C., Pirsiavash, H., Torralba, A.: Generating videos with scene dynamics. 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.
Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein GAN. In: ICML (2017)
2017
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.
Chen, Q., Koltun, V.: Photographic image synthesis with cascaded refinement networks. In: ICCV (2017)
2017
Cited alongside, same era.
Denton, E.L., Birodkar, V.: Unsupervised learning of disentangled representations from video. In: NIPS (2017)
2017
Cited alongside, same era.
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: CVPR (2017)
2017
Cited alongside, same era.
Later among the works it cites.
Zhu, J.Y., Zhang, R., Pathak, D., Darrell, T., Efros, A.A., Wang, O., Shechtman, E.: Toward multimodal image-to-image translation. In: NIPS (2017)
2017
Later among the works it cites.
2018
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2018
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Choi, Y., Choi, M., Kim, M., Ha, J.W., Kim, S., Choo, J.: Stargan: Unified generative adversarial networks for multi-domain image-to-image translation. In: CVPR. vol. 1711 (2018)
2018
Closest in time.
Hoffman, J., Tzeng, E., Park, T., Zhu, J.Y., Isola, P., Saenko, K., Efros, A.A., Darrell, T.: CyCADA: Cycle-consistent adversarial domain adaptation. In: ICML (2018)
2018
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Huang, X., Liu, M.Y., Belongie, S., Kautz, J.: Multimodal unsupervised image-to-image translation. In: ECCV (2018)
2018
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2018
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Murez, Z., Kolouri, S., Kriegman, D., Ramamoorthi, R., Kim, K.: Image to image translation for domain adaptation. In: CVPR (2018)
2018
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Tsai, Y.H., Hung, W.C., Schulter, S., Sohn, K., Yang, M.H., Chandraker, M.: Learning to adapt structured output space for semantic segmentation. In: CVPR (2018)
2018
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Wang, T.C., Liu, M.Y., Zhu, J.Y., Tao, A., Kautz, J., Catanzaro, B.: High-resolution image synthesis and semantic manipulation with conditional gans. In: CVPR (2018)
2018
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Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep networks as a perceptual metric. In: CVPR (2018)
2018
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