Références Sélectionnées
I. Goodfellow, Y. Bengio, and A. Courville (2016), Deep Learning, MIT Press,
http://www.deeplearningbook.org Dong, C., Loy, C. C., He, K., & Tang, X. (2016). Image Super-Resolution Using Deep Convolutional Networks.
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, *38*(2), 295-307.
https://doi.org/10.1109/TPAMI.2015.2439281Chan, S. H., Wang, X., & Elgendy, O. A. (2017). Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications.
*IEEE Transactions on Computational Imaging*, *3*(1), 84-98.
https://doi.org/10.1109/TCI.2016.2629286 Gatys, L. A., Ecker, A. S., & Bethge, M. (2015). Texture Synthesis Using Convolutional Neural Networks. *NIPS 2015*, 1-10.
http://arxiv.org/abs/1505.07376 Liu, G., Gousseau, Y., & Xia, G.-S. (2016).
*Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints*. Retrieved from
http://arxiv.org/abs/1605.01141 Newson, A., Almansa, A., Gousseau, Y., Ladjal, S., Newson, A., Almansa, A., ... Ladjal, S. (2018). *Taking Apart Autoencoders: How do They Encode Geometric Shapes?* Retrieved from
<https://hal.archives-ouvertes.fr/hal-01676326/> Harchaoui, W., Mattei, P-A., Bouveyron, C. and Almansa, A. (2018) "Wasserstein Adversarial Mixture Clustering"
https://hal.archives-ouvertes.fr/hal-01827775/.