Unsupervised Representation Learning with Deep Convolutional Generative …

Articles citing Unsupervised Representation Learning with Deep Convolutional Generative …

Title / Author	Year
Deep learning I Goodfellow, Y Bengio, A Courville MIT press	2016
Image-to-image translation with conditional adversarial networks P Isola, JY Zhu, T Zhou, AA Efros Proceedings of the IEEE conference on computer vision and pattern …	2017
Unpaired image-to-image translation using cycle-consistent adversarial networks JY Zhu, T Park, P Isola, AA Efros Proceedings of the IEEE international conference on computer vision, 2223-2232	2017
Wasserstein gan M Arjovsky, S Chintala, L Bottou arXiv preprint arXiv:1701.07875	2017
Photo-realistic single image super-resolution using a generative adversarial network C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ... Proceedings of the IEEE conference on computer vision and pattern …	2017
Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen Advances in neural information processing systems, 2234-2242	2016
Perceptual losses for real-time style transfer and super-resolution J Johnson, A Alahi, L Fei-Fei European conference on computer vision, 694-711	2016
Improved training of wasserstein gans I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, AC Courville Advances in neural information processing systems, 5767-5777	2017
Infogan: Interpretable representation learning by information maximizing generative adversarial nets X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel Advances in neural information processing systems, 2172-2180	2016
Context encoders: Feature learning by inpainting D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros Proceedings of the IEEE conference on computer vision and pattern …	2016
Progressive growing of gans for improved quality, stability, and variation T Karras, T Aila, S Laine, J Lehtinen arXiv preprint arXiv:1710.10196	2017
Gans trained by a two time-scale update rule converge to a local nash equilibrium M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter Advances in neural information processing systems, 6626-6637	2017
Generative adversarial text to image synthesis S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee arXiv preprint arXiv:1605.05396	2016
Least squares generative adversarial networks X Mao, Q Li, H Xie, RYK Lau, Z Wang, S Paul Smolley Proceedings of the IEEE international conference on computer vision, 2794-2802	2017
Conditional image synthesis with auxiliary classifier gans A Odena, C Olah, J Shlens International conference on machine learning, 2642-2651	2017
Spectral normalization for generative adversarial networks T Miyato, T Kataoka, M Koyama, Y Yoshida arXiv preprint arXiv:1802.05957	2018
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas Proceedings of the IEEE international conference on computer vision, 5907-5915	2017
Unsupervised image-to-image translation networks MY Liu, T Breuel, J Kautz Advances in neural information processing systems, 700-708	2017
Towards principled methods for training generative adversarial networks M Arjovsky, L Bottou arXiv preprint arXiv:1701.04862	2017
Recent advances in convolutional neural networks J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai, T Liu, X Wang, ... Pattern Recognition 77, 354-377	2018

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