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Emily L Denton et almbox. 2017. Unsupervised learning of disentangled representations from video. In Advances in Neural Information Processing Systems. 4414--4423."},{"key":"e_1_3_2_1_10_1","unstructured":"Haoye Dong Xiaodan Liang Ke Gong Hanjiang Lai Jia Zhu and Jian Yin. 2018. Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. In Advances in Neural Information Processing Systems. 472--482.  Haoye Dong Xiaodan Liang Ke Gong Hanjiang Lai Jia Zhu and Jian Yin. 2018. Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. 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In Advances in Neural Information Processing Systems. 406--416."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00018"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"e_1_3_2_1_35_1","volume-title":"Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, and Yann LeCun.","author":"Mathieu Michael F","year":"2016","unstructured":"Michael F Mathieu , Junbo Jake Zhao , Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, and Yann LeCun. 2016 . Disentangling factors of variation in deep representation using adversarial training. In Advances in Neural Information Processing Systems . 5040--5048. Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, and Yann LeCun. 2016. Disentangling factors of variation in deep representation using adversarial training. 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DualGAN: Unsupervised Dual Learning for Image-to-Image Translation.. In ICCV. 2868--2876.  Zili Yi Hao (Richard) Zhang Ping Tan and Minglun Gong. 2017. DualGAN: Unsupervised Dual Learning for Image-to-Image Translation.. In ICCV. 2868--2876."},{"key":"e_1_3_2_1_53_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 676--684","author":"Yim Junho","year":"2015","unstructured":"Junho Yim , Heechul Jung , ByungIn Yoo , Changkyu Choi , Dusik Park , and Junmo Kim . 2015 . Rotating your face using multi-task deep neural network . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 676--684 . Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Dusik Park, and Junmo Kim. 2015. Rotating your face using multi-task deep neural network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 676--684."},{"key":"e_1_3_2_1_54_1","unstructured":"Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang and Dimitris Metaxas. 2017. Stackgan  Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang and Dimitris Metaxas. 2017. Stackgan"},{"volume-title":"Realistic image synthesis with stacked generative adversarial networks. arXiv preprint arXiv:1710.10916","year":"2017","key":"e_1_3_2_1_55_1","unstructured":": Realistic image synthesis with stacked generative adversarial networks. arXiv preprint arXiv:1710.10916 ( 2017 ). : Realistic image synthesis with stacked generative adversarial networks. arXiv preprint arXiv:1710.10916 (2017)."},{"key":"e_1_3_2_1_56_1","volume-title":"IEEE International Conference on.","author":"Zheng Liang","year":"2015","unstructured":"Liang Zheng , Liyue Shen , Lu Tian , Shengjin Wang , Jingdong Wang , and Qi Tian . 2015 . Scalable Person Re-identification: A Benchmark. In Computer Vision , IEEE International Conference on. Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian. 2015. Scalable Person Re-identification: A Benchmark. In Computer Vision, IEEE International Conference on."},{"key":"e_1_3_2_1_57_1","volume-title":"Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint","author":"Zhu Jun-Yan","year":"2017","unstructured":"Jun-Yan Zhu , Taesung Park , Phillip Isola , and Alexei A Efros . 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint ( 2017 ). Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. 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