Facial Age and Expression Synthesis Using Ordinal Ranking Adversarial Networks
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Zhenan Sun | Jinhui Tang | Massimo Tistarelli | Yunlian Sun | M. Tistarelli | Jinhui Tang | Zhenan Sun | Yunlian Sun
[1] Marios Savvides,et al. Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[2] Gang Hua,et al. Ordinal Regression with Multiple Output CNN for Age Estimation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Yun Fu,et al. Age Synthesis and Estimation via Faces: A Survey , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Thore Graepel,et al. Large Margin Rank Boundaries for Ordinal Regression , 2000 .
[5] Geoffrey E. Hinton,et al. Generating Facial Expressions with Deep Belief Nets , 2008 .
[6] Jan Kautz,et al. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Daniel Thalmann,et al. A dynamic wrinkle model in facial animation and skin ageing , 1995, Comput. Animat. Virtual Worlds.
[8] Takeo Kanade,et al. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[9] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[10] Ira Kemelmacher-Shlizerman,et al. Being John Malkovich , 2010, ECCV.
[11] Jean-Luc Dugelay,et al. Face aging with conditional generative adversarial networks , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[12] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[13] Yong Man Ro,et al. Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data , 2017, ArXiv.
[14] Yang Song,et al. Age Progression/Regression by Conditional Adversarial Autoencoder , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Keith Waters,et al. Computer facial animation , 1996 .
[16] Yi-Ping Hung,et al. Ordinal hyperplanes ranker with cost sensitivities for age estimation , 2011, CVPR 2011.
[17] Ziwei Liu,et al. Semantic Facial Expression Editing using Autoencoded Flow , 2016, ArXiv.
[18] Anil K. Jain,et al. Learning Face Age Progression: A Pyramid Architecture of GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Qionghai Dai,et al. A data-driven approach for facial expression synthesis in video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[20] N. Zheng,et al. M-Face: An Appearance-Based Photorealistic Model for Multiple Facial Attributes Rendering , 2006, IEEE Transactions on Circuits and Systems for Video Technology.
[21] David Salesin,et al. Synthesizing realistic facial expressions from photographs , 1998, SIGGRAPH.
[22] Karl Ricanek,et al. MORPH: a longitudinal image database of normal adult age-progression , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[23] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] D. Perrett,et al. Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[25] Rama Chellappa,et al. Computational methods for modeling facial aging: A survey , 2009, J. Vis. Lang. Comput..
[26] Tomaso A. Poggio,et al. Reanimating Faces in Images and Video , 2003, Comput. Graph. Forum.
[27] Xu Tang,et al. Face Aging with Identity-Preserved Conditional Generative Adversarial Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Zhigang Deng,et al. Computer Facial Animation: A Survey , 2008 .
[29] Timothy F. Cootes,et al. Toward Automatic Simulation of Aging Effects on Face Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[31] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[32] Tieniu Tan,et al. Geometry Guided Adversarial Facial Expression Synthesis , 2017, ACM Multimedia.
[33] Kai Li,et al. Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Hui Chen,et al. Geometry-Contrastive GAN for Facial Expression Transfer. , 2018, 1802.01822.
[35] Anastasios Delopoulos,et al. The MUG facial expression database , 2010, 11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10.
[36] Ling Li,et al. Ordinal Regression by Extended Binary Classification , 2006, NIPS.
[37] Xiaoying Qi. Face , 2011, Definitions.
[38] Francesc Moreno-Noguer,et al. GANimation: Anatomically-aware Facial Animation from a Single Image , 2018, ECCV.
[39] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[40] Vladimir Pavlovic,et al. Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction , 2010, ECCV.
[41] Georgios Tzimiropoulos,et al. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] Tien D. Bui,et al. Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Shigeo Morishima,et al. Facial aging simulator considering geometry and patch-tiled texture , 2012, SIGGRAPH '12.
[44] Matti Pietikäinen,et al. Facial expression recognition from near-infrared videos , 2011, Image Vis. Comput..
[45] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[46] Bertram E. Shi,et al. Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder , 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).
[47] Nicu Sebe,et al. Recurrent Face Aging , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Bernard Tiddeman,et al. Prototyping and Transforming Facial Textures for Perception Research , 2001, IEEE Computer Graphics and Applications.
[49] Fei Yang,et al. Facial expression editing in video using a temporally-smooth factorization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[50] Rama Chellappa,et al. Modeling Age Progression in Young Faces , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[51] Vladimir Pavlovic,et al. Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Yi-Ping Hung,et al. Intensity Rank Estimation of Facial Expressions Based on a Single Image , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.
[53] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[54] Ira Kemelmacher-Shlizerman,et al. Illumination-Aware Age Progression , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[55] Rama Chellappa,et al. ExprGAN: Facial Expression Editing with Controllable Expression Intensity , 2017, AAAI.
[56] Duncan Rowland,et al. Manipulating facial appearance through shape and color , 1995, IEEE Computer Graphics and Applications.
[57] Ming Dong,et al. Using Ranking-CNN for Age Estimation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[59] Zicheng Liu,et al. Image-based surface detail transfer , 2004, IEEE Computer Graphics and Applications.