ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks
暂无分享,去创建一个
XueTao Jiang | Qingguo Zhou | Binbin Yong | R. Zhou | Qiang Wu | Baixue Zhu | Yongqiang Wei | Xuetao Jiang
[1] Qiang Wu,et al. Smart fog based workflow for traffic control networks , 2019, Future Gener. Comput. Syst..
[2] Rishi Sharma,et al. A Note on the Inception Score , 2018, ArXiv.
[3] Jaakko Lehtinen,et al. Noise2Noise: Learning Image Restoration without Clean Data , 2018, ICML.
[4] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[5] Qingguo Zhou,et al. Intelligent monitor system based on cloud and convolutional neural networks , 2017, The Journal of Supercomputing.
[6] Donna Soto-Morettini,et al. Reverse engineering the human: artificial intelligence and acting theory , 2017, Connect. Sci..
[7] Ya-li Wu,et al. [null]. , 2019, Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology.
[8] H. Robbins. A Stochastic Approximation Method , 1951 .
[9] Hai Jiang,et al. L4eRTL: a robust and secure real-time architecture with L4 microkernel and para-virtualised PSE51 partitions , 2017, Int. J. Embed. Syst..
[10] S. L. Kokkendorff. Gram Matrix Analysis of Finite Distance Spaces in Constant Curvature , 2004, Discret. Comput. Geom..
[11] Luc Van Gool,et al. European conference on computer vision (ECCV) , 2006, eccv 2006.
[12] Zhe Gan,et al. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[14] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[15] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[16] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Harold Cohen. The further exploits of Aaron, painter , 1995 .
[18] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[19] Qingguo Zhou,et al. A novel Monte Carlo-based neural network model for electricity load forecasting , 2020, Int. J. Embed. Syst..
[20] Leonardo Arriagada,et al. CG-Art: demystifying the anthropocentric bias of artistic creativity , 2020, Connect. Sci..
[21] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[22] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[23] Roland Vollgraf,et al. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms , 2017, ArXiv.
[24] Q. Liu,et al. FashionGAN: Display your fashion design using Conditional Generative Adversarial Nets , 2018, Comput. Graph. Forum.
[25] Simon Colton,et al. The Painting Fool Sees! New Projects with the Automated Painter , 2015, ICCC.
[26] Tun-huang yen chiu yüan,et al. The caves of Dunhuang , 2010 .
[27] Chen Wang,et al. Arrhythmia recognition and classification through deep learning-based approach , 2019, Int. J. Comput. Sci. Eng..
[28] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[29] Ahmed M. Elgammal,et al. CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms , 2017, ICCC.
[30] Yoichi Ochiai,et al. GANs-based Clothes Design: Pattern Maker Is All You Need to Design Clothing , 2019, AH.
[31] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[32] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[33] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[34] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).