Unpaired photo-to-caricature translation on faces in the wild

[1]  Vishal M. Patel,et al.  Image De-Raining Using a Conditional Generative Adversarial Network , 2017, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Zengchang Qin,et al.  Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks , 2018, Neurocomputing.

[3]  Qingming Huang,et al.  Semantic invariant cross-domain image generation with generative adversarial networks , 2018, Neurocomputing.

[4]  Chao Wang,et al.  Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation , 2017, ECCV.

[5]  Harshad Rai,et al.  Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks , 2018 .

[6]  Vladlen Koltun,et al.  Photographic Image Synthesis with Cascaded Refinement Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[7]  Hiroshi Ishikawa,et al.  Globally and locally consistent image completion , 2017, ACM Trans. Graph..

[8]  Xin Lin,et al.  Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN , 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

[9]  Katerina Fragkiadaki,et al.  Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[10]  Ping Tan,et al.  DualGAN: Unsupervised Dual Learning for Image-to-Image Translation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[11]  David Berthelot,et al.  BEGAN: Boundary Equilibrium Generative Adversarial Networks , 2017, ArXiv.

[12]  Aaron C. Courville,et al.  Improved Training of Wasserstein GANs , 2017, NIPS.

[13]  Hyunsoo Kim,et al.  Learning to Discover Cross-Domain Relations with Generative Adversarial Networks , 2017, ICML.

[14]  Hong Qin,et al.  Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over $L_{1}$ -Manifold Hyper-Graph of Discriminative Image Regions , 2017, IEEE Transactions on Image Processing.

[15]  Alexei A. Efros,et al.  Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[16]  Lior Wolf,et al.  Unsupervised Cross-Domain Image Generation , 2016, ICLR.

[17]  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).

[18]  Xiang Bai,et al.  An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  C. V. Jawahar,et al.  IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild , 2016, ECCV Workshops.

[20]  Alexei A. Efros,et al.  Generative Visual Manipulation on the Natural Image Manifold , 2016, ECCV.

[21]  Yann LeCun,et al.  Energy-based Generative Adversarial Network , 2016, ICLR.

[22]  Leon A. Gatys,et al.  Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Pieter Abbeel,et al.  InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.

[24]  Wojciech Zaremba,et al.  Improved Techniques for Training GANs , 2016, NIPS.

[25]  Bernt Schiele,et al.  Generative Adversarial Text to Image Synthesis , 2016, ICML.

[26]  Alexei A. Efros,et al.  Context Encoders: Feature Learning by Inpainting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Chuan Li,et al.  Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks , 2016, ECCV.

[28]  Li Fei-Fei,et al.  Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.

[29]  Abhinav Gupta,et al.  Generative Image Modeling Using Style and Structure Adversarial Networks , 2016, ECCV.

[30]  Aimin Hao,et al.  Super-Resolution of Multi-Observed RGB-D Images Based on Nonlocal Regression and Total Variation , 2016, IEEE Transactions on Image Processing.

[31]  Thomas Brox,et al.  Generating Images with Perceptual Similarity Metrics based on Deep Networks , 2016, NIPS.

[32]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  Honglak Lee,et al.  Attribute2Image: Conditional Image Generation from Visual Attributes , 2015, ECCV.

[34]  Soumith Chintala,et al.  Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.

[35]  Joan Bruna,et al.  Super-Resolution with Deep Convolutional Sufficient Statistics , 2015, ICLR.

[36]  Yann LeCun,et al.  Deep multi-scale video prediction beyond mean square error , 2015, ICLR.

[37]  Yu Zhou,et al.  Similarity Fusion for Visual Tracking , 2015, International Journal of Computer Vision.

[38]  Tayfun Akgül,et al.  Matching caricatures to photographs , 2015, Signal, Image and Video Processing.

[39]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[40]  P. Lewinski,et al.  Warsaw set of emotional facial expression pictures: a validation study of facial display photographs , 2015, Front. Psychol..

[41]  Xiaogang Wang,et al.  Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).

[42]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[43]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[44]  Simon Osindero,et al.  Conditional Generative Adversarial Nets , 2014, ArXiv.

[45]  Andrew L. Maas Rectifier Nonlinearities Improve Neural Network Acoustic Models , 2013 .

[46]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[47]  Skyler T. Hawk,et al.  Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES). , 2011, Emotion.

[48]  Xiaogang Wang,et al.  Coupled information-theoretic encoding for face photo-sketch recognition , 2011, CVPR 2011.

[49]  C. Thomaz,et al.  A new ranking method for principal components analysis and its application to face image analysis , 2010, Image Vis. Comput..

[50]  Xiaogang Wang,et al.  Face Photo-Sketch Synthesis and Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[51]  Ergun Akleman,et al.  Making Extreme Caricatures with a New Interactive 2D Deformation Technique with Simplicial Complexes , 2006 .

[52]  Tsai-Yen Li,et al.  Automatic Caricature Generation by Analyzing Facial Features , 2004 .

[53]  David J. Kriegman,et al.  The yale face database , 1997 .