Fader Networks: Manipulating Images by Sliding Attributes
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Guillaume Lample | Ludovic Denoyer | Marc'Aurelio Ranzato | Antoine Bordes | Nicolas Usunier | Neil Zeghidour | Antoine Bordes | Marc'Aurelio Ranzato | Nicolas Usunier | Guillaume Lample | Ludovic Denoyer | Neil Zeghidour | M. Ranzato
[1] J. Urgen Schmidhuber,et al. Learning Factorial Codes by Predictability Minimization , 1992 .
[2] Andrew Zisserman,et al. Automated Flower Classification over a Large Number of Classes , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.
[3] Geoffrey E. Hinton,et al. Transforming Auto-Encoders , 2011, ICANN.
[4] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[5] Scott E. Reed,et al. Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis , 2015, NIPS.
[6] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] Joshua B. Tenenbaum,et al. Deep Convolutional Inverse Graphics Network , 2015, NIPS.
[8] Yuting Zhang,et al. Deep Visual Analogy-Making , 2015, NIPS.
[9] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[10] Chuan Li,et al. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks , 2016, ECCV.
[11] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[12] Bogdan Raducanu,et al. Invertible Conditional GANs for image editing , 2016, ArXiv.
[13] Honglak Lee,et al. Attribute2Image: Conditional Image Generation from Visual Attributes , 2015, ECCV.
[14] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[15] Yann LeCun,et al. Disentangling factors of variation in deep representation using adversarial training , 2016, NIPS.
[16] Amos J. Storkey,et al. Censoring Representations with an Adversary , 2015, ICLR.
[17] Bernt Schiele,et al. Learning Deep Representations of Fine-Grained Visual Descriptions , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Samy Bengio,et al. Generating Sentences from a Continuous Space , 2015, CoNLL.
[19] Lior Wolf,et al. Unsupervised Cross-Domain Image Generation , 2016, ICLR.
[20] Andrew Brock,et al. Neural Photo Editing with Introspective Adversarial Networks , 2016, ICLR.
[21] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[23] Lior Wolf,et al. Unsupervised Creation of Parameterized Avatars , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[24] Jean-Luc Dugelay,et al. Face aging with conditional generative adversarial networks , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[25] Robert Pless,et al. Deep Feature Interpolation for Image Content Changes , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[27] Gilles Louppe,et al. Learning to Pivot with Adversarial Networks , 2016, NIPS.