Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1511-1519, 2017. ,
Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models, CVPR, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01057240
Infogan: Interpretable representation learning by information maximizing generative adversarial nets, Advances in Neural Information Processing Systems, pp.2172-2180, 2016. ,
Manifold relevance determination, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2012. ,
Unsupervised learning of disentangled representations from video, 2017. ,
, Censoring representations with an adversary, 2015.
Generative adversarial nets, Advances in neural information processing systems, pp.2672-2680, 2014. ,
Shakir Mohamed, and Alexander Lerchner. beta-vae: Learning basic visual concepts with a constrained variational framework, 2016. ,
Image-to-image translation with conditional adversarial networks, 2016. ,
Learning to discover cross-domain relations with generative adversarial networks, 2017. ,
Unsupervised visual attribute transfer with reconfigurable generative adversarial networks, 2017. ,
Adam: A method for stochastic optimization. CoRR, abs/1412, vol.6980, 2014. ,
Bayesian canonical correlation analysis, Journal of Machine Learning Research, vol.14, issue.1, pp.965-1003, 2013. ,
, Fader networks: Manipulating images by sliding attributes, 2017.
Cross-pose face recognition by canonical correlation analysis, 2015. ,
Mvc: A dataset for view-invariant clothing retrieval and attribute prediction, Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, pp.313-316, 2016. ,
Unsupervised image-to-image translation networks, 2017. ,
Deep learning face attributes in the wild, Proceedings of International Conference on Computer Vision (ICCV), 2015. ,
, The variational fair autoencoder, 2015.
Disentangling factors of variation in deep representation using adversarial training, Advances in Neural Information Processing Systems, pp.5040-5048, 2016. ,
, Conditional generative adversarial nets, 2014.
Automated flower classification over a large number of classes, Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, 2008. ,
,
Volumetric and multi-view cnns for object classification on 3d data, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.5648-5656, 2016. ,
Unsupervised representation learning with deep convolutional generative adversarial networks, 2015. ,
Evangelos Kalogerakis, and Erik Learned-Miller. Multi-view convolutional neural networks for 3d shape recognition, Proceedings of the IEEE international conference on computer vision, pp.945-953, 2015. ,
Acoustic feature learning via deep variational canonical correlation analysis. CoRR, abs/1708.04673, 2017. ,
An inter-battery method of factor analysis, Psychometrika, vol.23, issue.2, pp.111-136, 1958. ,
Multi-view image generation from a single-view, 2017. ,
Unpaired image-to-image translation using cycle-consistent adversarial networks, 2017. ,