Separating Style and Content for Generalized Style Transfer
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Wenbin Cai | Yexun Zhang | Ya Zhang | Ya Zhang | Wenbin Cai | Yexun Zhang | Ya Zhang
[1] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Wenyu Liu,et al. Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[4] Tomas Pfister,et al. Learning from Simulated and Unsupervised Images through Adversarial Training , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[6] Yoshua Bengio,et al. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[7] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[8] Andrea Vedaldi,et al. Texture Networks: Feed-forward Synthesis of Textures and Stylized Images , 2016, ICML.
[9] Joshua B. Tenenbaum,et al. Separating Style and Content , 1996, NIPS.
[10] Dumitru Erhan,et al. Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Alexander Mordvintsev,et al. Inceptionism: Going Deeper into Neural Networks , 2015 .
[12] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[13] Mark W. Schmidt,et al. Fast Patch-based Style Transfer of Arbitrary Style , 2016, ArXiv.
[14] Lior Wolf,et al. Unsupervised Cross-Domain Image Generation , 2016, ICLR.
[15] Marc'Aurelio Ranzato,et al. DeViSE: A Deep Visual-Semantic Embedding Model , 2013, NIPS.
[16] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[17] Serge J. Belongie,et al. Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Bernt Schiele,et al. Latent Embeddings for Zero-Shot Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Ming-Yu Liu,et al. Coupled Generative Adversarial Networks , 2016, NIPS.
[20] Nenghai Yu,et al. StyleBank: An Explicit Representation for Neural Image Style Transfer , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Hang Zhang,et al. Multi-style Generative Network for Real-time Transfer , 2017, ECCV Workshops.
[22] Noah Snavely,et al. From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators , 2016, ArXiv.
[23] Connelly Barnes,et al. Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses , 2017, ArXiv.
[24] Wei-Lun Chao,et al. Synthesized Classifiers for Zero-Shot Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).