ExprGAN: Facial Expression Editing with Controllable Expression Intensity
暂无分享,去创建一个
[1] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[2] Fei Yang,et al. Expression flow for 3D-aware face component transfer , 2011, ACM Trans. Graph..
[3] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[4] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] Ran He,et al. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] David J. Kriegman,et al. Video-based face recognition using probabilistic appearance manifolds , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[9] Andrea Vedaldi,et al. Understanding deep image representations by inverting them , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Matti Pietikäinen,et al. Facial expression recognition from near-infrared videos , 2011, Image Vis. Comput..
[12] Jan Kautz,et al. Visio-lization: generating novel facial images , 2009, ACM Trans. Graph..
[13] Andrew L. Maas. Rectifier Nonlinearities Improve Neural Network Acoustic Models , 2013 .
[14] Kunio Kashino,et al. Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Geoffrey E. Hinton,et al. Generating Facial Expressions with Deep Belief Nets , 2008 .
[16] Yuting Zhang,et al. Learning to Disentangle Factors of Variation with Manifold Interaction , 2014, ICML.
[17] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[18] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[19] Ziwei Liu,et al. Semantic Facial Expression Editing using Autoencoded Flow , 2016, ArXiv.
[20] Navdeep Jaitly,et al. Adversarial Autoencoders , 2015, ArXiv.
[21] Xiaoming Liu,et al. Disentangled Representation Learning GAN for Pose-Invariant Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[23] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[24] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[25] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[26] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[27] Tomaso A. Poggio,et al. Reanimating Faces in Images and Video , 2003, Comput. Graph. Forum.
[28] Yu Qiao,et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks , 2016, IEEE Signal Processing Letters.
[29] Bruno A. Olshausen,et al. Discovering Hidden Factors of Variation in Deep Networks , 2014, ICLR.
[30] Jan Kautz,et al. Visio-lization: generating novel facial images , 2009, SIGGRAPH 2009.
[31] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[32] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[33] Fei Yang,et al. Facial expression editing in video using a temporally-smooth factorization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Zicheng Liu,et al. Expressive expression mapping with ratio images , 2001, SIGGRAPH.
[35] Yang Song,et al. Age Progression/Regression by Conditional Adversarial Autoencoder , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).