Adversarial Feedback Loop
暂无分享,去创建一个
[1] Kilian Q. Weinberger,et al. An empirical study on evaluation metrics of generative adversarial networks , 2018, ArXiv.
[2] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[3] Yuichi Yoshida,et al. Spectral Normalization for Generative Adversarial Networks , 2018, 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] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[7] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[8] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[9] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.
[10] Zhuowen Tu,et al. Introspective Neural Networks for Generative Modeling , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[11] Dhruv Batra,et al. LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation , 2016, ICLR.
[12] 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.
[13] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[14] Lin Sun,et al. Feedback Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[16] Radu Timofte,et al. 2018 PIRM Challenge on Perceptual Image Super-resolution , 2018, ArXiv.
[17] Thomas Brox,et al. Generating Images with Perceptual Similarity Metrics based on Deep Networks , 2016, NIPS.
[18] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[19] Bernt Schiele,et al. Generative Adversarial Text to Image Synthesis , 2016, ICML.
[20] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[21] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[22] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Ali Borji,et al. Pros and Cons of GAN Evaluation Measures , 2018, Comput. Vis. Image Underst..
[25] Vincent Lepetit,et al. Training a Feedback Loop for Hand Pose Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[26] Zhuowen Tu,et al. Wasserstein Introspective Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[28] Gregory Shakhnarovich,et al. Deep Back-Projection Networks for Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Jitendra Malik,et al. Human Pose Estimation with Iterative Error Feedback , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Jitendra Malik,et al. Iterative Instance Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Yu Qiao,et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks , 2018, ECCV Workshops.
[32] Luc Van Gool,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[33] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Ole Winther,et al. Autoencoding beyond pixels using a learned similarity metric , 2015, ICML.
[35] Alexia Jolicoeur-Martineau,et al. The relativistic discriminator: a key element missing from standard GAN , 2018, ICLR.
[36] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[37] Gabriel Kreiman,et al. Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning , 2016, ICLR.